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Spotlight
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Spotlight
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
Spotlight
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search
Spotlight
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
Spotlight
Diffusion Models Beat GANs on Image Synthesis
Spotlight
Numerical Composition of Differential Privacy
Spotlight
Intriguing Properties of Vision Transformers
Spotlight
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Spotlight
Neural Algorithmic Reasoners are Implicit Planners
Spotlight
Tractable Regularization of Probabilistic Circuits
Spotlight
Neural optimal feedback control with local learning rules
Spotlight
A Normative and Biologically Plausible Algorithm for Independent Component Analysis
Spotlight
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Spotlight
List-Decodable Mean Estimation in Nearly-PCA Time
Spotlight
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay
Spotlight
DOCTOR: A Simple Method for Detecting Misclassification Errors
Spotlight
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Spotlight
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Spotlight
Variational Inference for Continuous-Time Switching Dynamical Systems
Spotlight
Focal Attention for Long-Range Interactions in Vision Transformers
Spotlight
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Spotlight
Neural Scene Flow Prior
Spotlight
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
Spotlight
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
Spotlight
Bias and variance of the Bayesian-mean decoder
Spotlight
Coresets for Clustering with Missing Values
Spotlight
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
Spotlight
Bootstrap Your Object Detector via Mixed Training
Spotlight
Littlestone Classes are Privately Online Learnable
Spotlight
Instance-Conditioned GAN
Spotlight
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
Spotlight
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
Spotlight
Two steps to risk sensitivity
Spotlight
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Spotlight
Reward is enough for convex MDPs
Spotlight
Sequential Algorithms for Testing Closeness of Distributions
Spotlight
Node Dependent Local Smoothing for Scalable Graph Learning
Spotlight
Learning Large Neighborhood Search Policy for Integer Programming
Spotlight
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Spotlight
Behavior From the Void: Unsupervised Active Pre-Training
Spotlight
Decentralized Learning in Online Queuing Systems
Spotlight
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Spotlight
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
Spotlight
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
Spotlight
Embedding Principle of Loss Landscape of Deep Neural Networks
Spotlight
Information Directed Sampling for Sparse Linear Bandits
Spotlight
Counterfactual Invariance to Spurious Correlations in Text Classification
Spotlight
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem
Spotlight
Unintended Selection: Persistent Qualification Rate Disparities and Interventions
Spotlight
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
Spotlight
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
Spotlight
On the Power of Differentiable Learning versus PAC and SQ Learning
Spotlight
Learning with Holographic Reduced Representations
Spotlight
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
Spotlight
Offline RL Without Off-Policy Evaluation
Spotlight
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Spotlight
Calibration and Consistency of Adversarial Surrogate Losses
Spotlight
Coresets for Decision Trees of Signals
Spotlight
Excess Capacity and Backdoor Poisoning
Spotlight
Learning Disentangled Behavior Embeddings
Spotlight
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Spotlight
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
Spotlight
Refined Learning Bounds for Kernel and Approximate $k$-Means
Spotlight
Continuous vs. Discrete Optimization of Deep Neural Networks
Spotlight
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Spotlight
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
Spotlight
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
Spotlight
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Spotlight
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Spotlight
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Spotlight
Early-stopped neural networks are consistent
Spotlight
Learning Generalized Gumbel-max Causal Mechanisms
Spotlight
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
Spotlight
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Spotlight
On the Value of Infinite Gradients in Variational Autoencoder Models
Spotlight
Collaborating with Humans without Human Data
Spotlight
Hash Layers For Large Sparse Models
Spotlight
Explaining Latent Representations with a Corpus of Examples
Spotlight
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
Spotlight
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Spotlight
RIM: Reliable Influence-based Active Learning on Graphs
Spotlight
Conformal Prediction using Conditional Histograms
Spotlight
Exact marginal prior distributions of finite Bayesian neural networks
Spotlight
Online and Offline Reinforcement Learning by Planning with a Learned Model
Spotlight
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
Spotlight
Revisiting ResNets: Improved Training and Scaling Strategies
Spotlight
Multiwavelet-based Operator Learning for Differential Equations
Spotlight
A Geometric Analysis of Neural Collapse with Unconstrained Features
Spotlight
Regulating algorithmic filtering on social media
Spotlight
Constrained Robust Submodular Partitioning
Spotlight
Practical Near Neighbor Search via Group Testing
Spotlight
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
Spotlight
Robust Predictable Control
Spotlight
Online Active Learning with Surrogate Loss Functions
Spotlight
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
Spotlight
Representation Learning Beyond Linear Prediction Functions
Spotlight
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Spotlight
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Spotlight
Parametric Complexity Bounds for Approximating PDEs with Neural Networks
Spotlight
Iterative Teaching by Label Synthesis
Spotlight
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
Spotlight
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
Spotlight
Learning Equilibria in Matching Markets from Bandit Feedback
Spotlight
SOFT: Softmax-free Transformer with Linear Complexity
Spotlight
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Spotlight
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
Spotlight
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Spotlight
Combiner: Full Attention Transformer with Sparse Computation Cost
Spotlight
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
Spotlight
Self-Supervised Learning Disentangled Group Representation as Feature
Spotlight
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Spotlight
Representation Learning for Event-based Visuomotor Policies
Spotlight
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
Spotlight
DiBS: Differentiable Bayesian Structure Learning
Spotlight
Doubly Robust Thompson Sampling with Linear Payoffs
Spotlight
Logarithmic Regret in Feature-based Dynamic Pricing
Spotlight
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
Spotlight
Ultrahyperbolic Neural Networks
Spotlight
On the Existence of The Adversarial Bayes Classifier
Spotlight
RL for Latent MDPs: Regret Guarantees and a Lower Bound
Spotlight
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
Spotlight
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Spotlight
Towards optimally abstaining from prediction with OOD test examples
Spotlight
Bayesian decision-making under misspecified priors with applications to meta-learning
Spotlight
Multimodal and Multilingual Embeddings for Large-Scale Speech Mining
Spotlight
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Spotlight
Generic Neural Architecture Search via Regression
Spotlight
Optimal Policies Tend To Seek Power
Spotlight
Online Selective Classification with Limited Feedback
Spotlight
Across-animal odor decoding by probabilistic manifold alignment
Spotlight
Coresets for Time Series Clustering
Spotlight
Instance-Dependent Partial Label Learning
Spotlight
A sampling-based circuit for optimal decision making
Spotlight
Forster Decomposition and Learning Halfspaces with Noise
Spotlight
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Spotlight
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
Spotlight
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
Spotlight
Statistical Query Lower Bounds for List-Decodable Linear Regression
Spotlight
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
Spotlight
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
Spotlight
On Linear Stability of SGD and Input-Smoothness of Neural Networks
Spotlight
Subgame solving without common knowledge
Spotlight
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
Spotlight
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Spotlight
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval
Spotlight
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
Spotlight
A Central Limit Theorem for Differentially Private Query Answering
Spotlight
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
Spotlight
Adversarial Teacher-Student Representation Learning for Domain Generalization
Spotlight
Subgraph Federated Learning with Missing Neighbor Generation
Spotlight
Neural Program Generation Modulo Static Analysis
Spotlight
Sequence-to-Sequence Learning with Latent Neural Grammars
Spotlight
Flexible Option Learning
Spotlight
Proper Value Equivalence
Spotlight
Measuring Generalization with Optimal Transport
Spotlight
Interactive Label Cleaning with Example-based Explanations
Spotlight
Private learning implies quantum stability
Spotlight
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
Spotlight
A single gradient step finds adversarial examples on random two-layers neural networks
Spotlight
Slice Sampling Reparameterization Gradients
Spotlight
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
Spotlight
The Semi-Random Satisfaction of Voting Axioms
Spotlight
Learning to See by Looking at Noise
Spotlight
IQ-Learn: Inverse soft-Q Learning for Imitation
Spotlight
Towards a Unified Information-Theoretic Framework for Generalization
Spotlight
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
Spotlight
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
Spotlight
Uncertain Decisions Facilitate Better Preference Learning
Spotlight
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
Spotlight
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
Spotlight
Bootstrapping the Error of Oja's Algorithm
Spotlight
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
Spotlight
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
Spotlight
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions
Spotlight
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
Spotlight
Uniform Sampling over Episode Difficulty
Spotlight
Pruning Randomly Initialized Neural Networks with Iterative Randomization
Spotlight
Mixability made efficient: Fast online multiclass logistic regression
Spotlight
Credit Assignment in Neural Networks through Deep Feedback Control
Spotlight
Probabilistic Tensor Decomposition of Neural Population Spiking Activity
Spotlight
Auditing Black-Box Prediction Models for Data Minimization Compliance
Spotlight
Batch Normalization Orthogonalizes Representations in Deep Random Networks
Spotlight
A Unified Approach to Fair Online Learning via Blackwell Approachability
Spotlight
H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
Spotlight
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Spotlight
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Spotlight
Private Non-smooth ERM and SCO in Subquadratic Steps
Spotlight
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
Spotlight
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Spotlight
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
Spotlight
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
Spotlight
Techniques for Symbol Grounding with SATNet
Spotlight
Image Generation using Continuous Filter Atoms
Spotlight
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Spotlight
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
Spotlight
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations
Spotlight
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
Spotlight
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Spotlight
Probabilistic Attention for Interactive Segmentation
Spotlight
Learning to Compose Visual Relations
Spotlight
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
Spotlight
Dense Keypoints via Multiview Supervision
Spotlight
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
Spotlight
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
Spotlight
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Spotlight
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
Spotlight
Lossy Compression for Lossless Prediction
Spotlight
Optimal Sketching for Trace Estimation
Spotlight
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
Spotlight
Provably Faster Algorithms for Bilevel Optimization
Spotlight
Foundations of Symbolic Languages for Model Interpretability
Spotlight
Reinforcement Learning in Newcomblike Environments
Spotlight
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
Spotlight
Tensor Normal Training for Deep Learning Models
Spotlight
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
Spotlight
Long Short-Term Transformer for Online Action Detection
Spotlight
Repulsive Deep Ensembles are Bayesian
Spotlight
Deep Self-Dissimilarities as Powerful Visual Fingerprints
Spotlight
Bayesian Bellman Operators
Spotlight
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
Spotlight
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Spotlight
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Spotlight
Precise characterization of the prior predictive distribution of deep ReLU networks
Spotlight
What’s a good imputation to predict with missing values?
Spotlight
Second-Order Neural ODE Optimizer
Spotlight
Breaking the Dilemma of Medical Image-to-image Translation
Spotlight
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Spotlight
Subgroup Generalization and Fairness of Graph Neural Networks
Spotlight
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
Spotlight
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Spotlight
A Minimalist Approach to Offline Reinforcement Learning
Spotlight
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
Spotlight
Shaping embodied agent behavior with activity-context priors from egocentric video
Spotlight
Efficiently Identifying Task Groupings for Multi-Task Learning
Spotlight
Differentially Private Model Personalization
Spotlight
Understanding the Under-Coverage Bias in Uncertainty Estimation
Spotlight
Mixture Proportion Estimation and PU Learning:A Modern Approach
Spotlight
Maximum Likelihood Training of Score-Based Diffusion Models
Spotlight
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
Spotlight
Refining Language Models with Compositional Explanations
Spotlight
Learning to delegate for large-scale vehicle routing
Spotlight
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Spotlight
Fair Exploration via Axiomatic Bargaining
Spotlight
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
Spotlight
Robust Learning of Optimal Auctions
Spotlight
Rethinking gradient sparsification as total error minimization
Spotlight
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
Spotlight
A flow-based latent state generative model of neural population responses to natural images
Spotlight
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Spotlight
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Spotlight
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
Spotlight
Variational Bayesian Optimistic Sampling
Spotlight
Safe Reinforcement Learning with Natural Language Constraints
Spotlight
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
Spotlight
Speedy Performance Estimation for Neural Architecture Search
Spotlight
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Spotlight
On Inductive Biases for Heterogeneous Treatment Effect Estimation
Spotlight
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
Spotlight
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
Tutorial
Mon Dec 06 01:00 AM -- 04:30 AM (PST)
Pay Attention to What You Need: Do Structural Priors Still Matter in the Age of Billion Parameter Models?
Tutorial
Mon Dec 06 01:00 AM -- 04:50 AM (PST) @ Virtual
Real-Time Optimization for Fast and Complex Control Systems
[
Slides]
Tutorial
Mon Dec 06 05:00 AM -- 09:00 AM (PST)
Machine Learning With Quantum Computers
Tutorial
Mon Dec 06 05:00 AM -- 08:00 AM (PST) @ Virtual
A Journey Through the Opportunity of Low Resourced Natural Language Processing — An African Lens
[
Slides]
Tutorial
Mon Dec 06 09:00 AM -- 01:00 PM (PST) @ Virtual
The Art of Gaussian Processes: Classical and Contemporary
[
Slides]
Tutorial
Mon Dec 06 09:00 AM -- 01:00 PM (PST) @ Virtual
ML for Physics and Physics for ML
[
Slides]
Tutorial
Mon Dec 06 01:00 PM -- 05:00 PM (PST)
Beyond Fairness in Machine Learning
Tutorial
Mon Dec 06 01:00 PM -- 05:00 PM (PST) @ Virtual
Machine Learning and Statistics for Climate Science
[
Slides]
Tutorial
Mon Dec 06 05:00 PM -- 09:00 PM (PST) @ Virtual
Message Passing In Machine Learning
[
Slides]
Tutorial
Mon Dec 06 05:00 PM -- 07:21 PM (PST) @ Virtual
Self-Supervised Learning: Self-Prediction and Contrastive Learning
[
Slides]
Affinity Poster Session
Mon Dec 06 09:00 PM -- 11:00 PM (PST)
Joint Affinity Poster Session
[
GatherTown]
Panel
Mon Dec 06 11:00 PM -- 12:00 AM (PST)
The Consequences of Massive Scaling in Machine Learning
Datasets and Benchmarks
Tue Dec 07 12:00 AM -- 02:00 AM (PST)
Dataset and Benchmark Track 1
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
E(n) Equivariant Normalizing Flows
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
Framing RNN as a kernel method: A neural ODE approach
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
Online Variational Filtering and Parameter Learning
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
Near-Optimal No-Regret Learning in General Games
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
Learning to Draw: Emergent Communication through Sketching
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
A Universal Law of Robustness via Isoperimetry
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
[
OpenReview]
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Causal Identification with Matrix Equations
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Alias-Free Generative Adversarial Networks
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
Data driven semi-supervised learning
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
On the Expressivity of Markov Reward
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
Differentiable Quality Diversity
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
Learning Frequency Domain Approximation for Binary Neural Networks
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
Learning Debiased Representation via Disentangled Feature Augmentation
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
Hessian Eigenspectra of More Realistic Nonlinear Models
Affinity Workshop
Tue Dec 07 05:00 AM -- 07:00 AM (PST)
Queer in AI Workshop 1
Affinity Workshop
Tue Dec 07 06:02 AM -- 06:50 AM (PST)
New in ML 1
Invited Talk
Tue Dec 07 07:00 AM -- 08:30 AM (PST)
How Duolingo Uses AI to Assess, Engage and Teach Better
Datasets and Benchmarks
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dataset and Benchmark Poster Session 1
Demonstration
Tue Dec 07 08:30 AM -- 09:35 AM (PST)
Demonstrations 1
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Memorization in Probabilistic Deep Generative Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MICo: Improved representations via sampling-based state similarity for Markov decision processes
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
$\texttt{LeadCache}$: Regret-Optimal Caching in Networks
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Autonomous Reinforcement Learning via Subgoal Curricula
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Residual Relaxation for Multi-view Representation Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mirror Langevin Monte Carlo: the Case Under Isoperimetry
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural optimal feedback control with local learning rules
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Private learning implies quantum stability
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sharp Impossibility Results for Hyper-graph Testing
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Decentralized Learning in Online Queuing Systems
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spectral embedding for dynamic networks with stability guarantees
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tighter Expected Generalization Error Bounds via Wasserstein Distance
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning in Reward-Mixing MDPs
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Safe Pontryagin Differentiable Programming
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can fMRI reveal the representation of syntactic structure in the brain?
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Answering Complex Causal Queries With the Maximum Causal Set Effect
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Calibration and Out-of-Domain Generalization
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cardinality constrained submodular maximization for random streams
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Multi-Armed Bandits with Adaptive Inference
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Convex Optimization with Continuous Switching Constraint
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-end Multi-modal Video Temporal Grounding
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Automated Discovery of Adaptive Attacks on Adversarial Defenses
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Invariance to Spurious Correlations in Text Classification
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast and accurate randomized algorithms for low-rank tensor decompositions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
DiBS: Differentiable Bayesian Structure Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistical Inference with M-Estimators on Adaptively Collected Data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Pareto Frontier of model selection for general Contextual Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning One Representation to Optimize All Rewards
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Implicit Semantic Response Alignment for Partial Domain Adaptation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Large-Scale Learning with Fourier Features and Tensor Decompositions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Confident Anchor-Induced Multi-Source Free Domain Adaptation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A novel notion of barycenter for probability distributions based on optimal weak mass transport
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scaling Gaussian Processes with Derivative Information Using Variational Inference
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spot the Difference: Detection of Topological Changes via Geometric Alignment
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Approximating the Permanent with Deep Rejection Sampling
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bias and variance of the Bayesian-mean decoder
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dynamic Bottleneck for Robust Self-Supervised Exploration
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Automatic Unsupervised Outlier Model Selection
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online and Offline Reinforcement Learning by Planning with a Learned Model
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially Robust Change Point Detection
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Margin-Based Cluster Recovery with Oracle Queries
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness with Non-uniform Perturbations
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Misspecified Gaussian Process Bandit Optimization
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Challenges and Opportunities in High Dimensional Variational Inference
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Information Directed Sampling for Sparse Linear Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-armed Bandit Requiring Monotone Arm Sequences
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Causal Lens for Controllable Text Generation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Overcoming the Convex Barrier for Simplex Inputs
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Measuring Generalization with Optimal Transport
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Universality of Graph Neural Networks on Large Random Graphs
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially robust learning for security-constrained optimal power flow
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Achieving Rotational Invariance with Bessel-Convolutional Neural Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SOLQ: Segmenting Objects by Learning Queries
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fitting summary statistics of neural data with a differentiable spiking network simulator
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fair Exploration via Axiomatic Bargaining
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dynamics-regulated kinematic policy for egocentric pose estimation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Introspective Distillation for Robust Question Answering
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Implicit SVD for Graph Representation Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Monte Carlo Tree Search With Iteratively Refining State Abstractions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cortico-cerebellar networks as decoupling neural interfaces
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MarioNette: Self-Supervised Sprite Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Hyperbolic Procrustes Analysis Using Riemannian Geometry
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Certifying Robustness to Programmable Data Bias in Decision Trees
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Aligning Pretraining for Detection via Object-Level Contrastive Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dueling Bandits with Adversarial Sleeping
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Disentangled Behavior Embeddings
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nonparametric estimation of continuous DPPs with kernel methods
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Explanations Can Be Manipulated
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimality of variational inference for stochasticblock model with missing links
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Shape Registration in the Time of Transformers
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Differentiable rendering with perturbed optimizers
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On sensitivity of meta-learning to support data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Role of Optimization in Double Descent: A Least Squares Study
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Sample-efficient Overparameterized Meta-learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Pseudo-Label Optimism for the Bank Loan Problem
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On Provable Benefits of Depth in Training Graph Convolutional Networks
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Continuous Mapping For Augmentation Design
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Structured Reordering for Modeling Latent Alignments in Sequence Transduction
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Early Convolutions Help Transformers See Better
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An analysis of Ermakov-Zolotukhin quadrature using kernels
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can Information Flows Suggest Targets for Interventions in Neural Circuits?
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Training of Neural Lumigraph Representations using Meta Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stateful ODE-Nets using Basis Function Expansions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Wider Neural Networks Really Help Adversarial Robustness?
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Noether Networks: meta-learning useful conserved quantities
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Test-Time Personalization with a Transformer for Human Pose Estimation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The Many Faces of Adversarial Risk
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Impression learning: Online representation learning with synaptic plasticity
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Piper: Multidimensional Planner for DNN Parallelization
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Credit Assignment Through Broadcasting a Global Error Vector
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
DOCTOR: A Simple Method for Detecting Misclassification Errors
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Structural Credit Assignment in Neural Networks using Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sequential Causal Imitation Learning with Unobserved Confounders
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Pure Exploration in Kernel and Neural Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Backward-Compatible Prediction Updates: A Probabilistic Approach
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Perceptual Score: What Data Modalities Does Your Model Perceive?
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Marginalised Gaussian Processes with Nested Sampling
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Validation Free and Replication Robust Volume-based Data Valuation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Grounding Spatio-Temporal Language with Transformers
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Distributed Zero-Order Optimization under Adversarial Noise
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Class-agnostic Reconstruction of Dynamic Objects from Videos
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Editing a classifier by rewriting its prediction rules
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Episodes, Prototypical Networks, and Few-Shot Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identifiable Generative models for Missing Not at Random Data Imputation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Behavior From the Void: Unsupervised Active Pre-Training
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Learning and Control of Complex Dynamical Systems from Sensory Input
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Algorithms for Stochastic Contextual Preference Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Collaborative Causal Discovery with Atomic Interventions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BayesIMP: Uncertainty Quantification for Causal Data Fusion
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Searching the Search Space of Vision Transformer
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SketchGen: Generating Constrained CAD Sketches
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dueling Bandits with Team Comparisons
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Calibration through the Relationship with Adversarial Robustness
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Overinterpretation reveals image classification model pathologies
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Consistent Non-Parametric Methods for Maximizing Robustness
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Volume Rendering of Neural Implicit Surfaces
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness with Semi-Infinite Constrained Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Off-Policy Risk Assessment in Contextual Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The Inductive Bias of Quantum Kernels
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stabilizing Dynamical Systems via Policy Gradient Methods
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Cardinality-Regularized Hawkes-Granger Model
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Teachable Reinforcement Learning via Advice Distillation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Residual2Vec: Debiasing graph embedding with random graphs
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Intervention Target Estimation in Linear Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistically and Computationally Efficient Linear Meta-representation Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Instance-dependent Label-noise Learning under a Structural Causal Model
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Interpretable Model with Transformation Equivariant Interpretation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Partial success in closing the gap between human and machine vision
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamical Wasserstein Barycenters for Time-series Modeling
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Thompson Sampling using Sparse Gaussian Process Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spatio-Temporal Variational Gaussian Processes
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Environment Generation for Zero-Shot Compositional Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Order Simple Regret for Gaussian Process Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Probabilistic Tensor Decomposition of Neural Population Spiking Activity
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Supervising the Transfer of Reasoning Patterns in VQA
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Random Noise Defense Against Query-Based Black-Box Attacks
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Accurate Point Cloud Registration with Robust Optimal Transport
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting the Calibration of Modern Neural Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Explanations in Sequential Decision Making Under Uncertainty
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Comprehensive Knowledge Distillation with Causal Intervention
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tensor Normal Training for Deep Learning Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Program Generation Modulo Static Analysis
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Iterative Connecting Probability Estimation for Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Training Neural Networks with Fixed Sparse Masks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BNS: Building Network Structures Dynamically for Continual Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A variational approximate posterior for the deep Wishart process
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness of Streaming Algorithms through Importance Sampling
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Certified Robust Training with Short Warmup
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Object-aware Contrastive Learning for Debiased Scene Representation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Active Offline Policy Selection
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Detecting Moments and Highlights in Videos via Natural Language Queries
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Vision Transformers See Like Convolutional Neural Networks?
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Relational Self-Attention: What's Missing in Attention for Video Understanding
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Auto-Curricula in Two-Player Zero-Sum Games
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Object DGCNN: 3D Object Detection using Dynamic Graphs
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Grounding inductive biases in natural images: invariance stems from variations in data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reverse-Complement Equivariant Networks for DNA Sequences
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Partition and Code: learning how to compress graphs
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting Deep Learning Models for Tabular Data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rebounding Bandits for Modeling Satiation Effects
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Conditioning Sparse Variational Gaussian Processes for Online Decision-making
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Gradient-based Hyperparameter Optimization Over Long Horizons
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bayesian decision-making under misspecified priors with applications to meta-learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tractable Regularization of Probabilistic Circuits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-modal Dependency Tree for Video Captioning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Weisfeiler and Lehman Go Cellular: CW Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Matrix factorisation and the interpretation of geodesic distance
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A first-order primal-dual method with adaptivity to local smoothness
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Attention Approximates Sparse Distributed Memory
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Graph Neural Networks with Local Graph Parameters
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
MAU: A Motion-Aware Unit for Video Prediction and Beyond
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting ResNets: Improved Training and Scaling Strategies
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A sampling-based circuit for optimal decision making
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Unsupervised Part Discovery from Contrastive Reconstruction
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Compressive Visual Representations
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bootstrap Your Object Detector via Mixed Training
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A universal probabilistic spike count model reveals ongoing modulation of neural variability
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Kernel-based Test of Independence for Cluster-correlated Data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PatchGame: Learning to Signal Mid-level Patches in Referential Games
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Passive attention in artificial neural networks predicts human visual selectivity
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Encoding Robustness to Image Style via Adversarial Feature Perturbations
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast rates for prediction with limited expert advice
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Center Smoothing: Certified Robustness for Networks with Structured Outputs
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Robustness via Uncertainty-aware Cycle Consistency
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Semi-Random Satisfaction of Voting Axioms
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Moser Flow: Divergence-based Generative Modeling on Manifolds
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Temporally Abstract Partial Models
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Rates for Nonparametric Density Estimation under Communication Constraints
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning-to-learn non-convex piecewise-Lipschitz functions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Panoptic 3D Scene Reconstruction From a Single RGB Image
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Matching a Desired Causal State via Shift Interventions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Computer-Aided Design as Language
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Attention Bottlenecks for Multimodal Fusion
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Kernel Identification Through Transformers
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
From global to local MDI variable importances for random forests and when they are Shapley values
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Bayesian Optimization with High-Dimensional Outputs
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
3DP3: 3D Scene Perception via Probabilistic Programming
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimizing Reusable Knowledge for Continual Learning via Metalearning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Enabling Meta-Learning from Target Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Long-Short Transformer: Efficient Transformers for Language and Vision
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Algorithmic Stability of Adversarial Training
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dangers of Bayesian Model Averaging under Covariate Shift
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Predicting What You Already Know Helps: Provable Self-Supervised Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online learning in MDPs with linear function approximation and bandit feedback.
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multilingual Pre-training with Universal Dependency Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Regret Bounds for Gaussian-Process Optimization in Large Domains
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Domain Invariant Representation Learning with Domain Density Transformations
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Calibration and Consistency of Adversarial Surrogate Losses
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Relative stability toward diffeomorphisms indicates performance in deep nets
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Numerical influence of ReLU’(0) on backpropagation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recovering Latent Causal Factor for Generalization to Distributional Shifts
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
R-Drop: Regularized Dropout for Neural Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
CrypTen: Secure Multi-Party Computation Meets Machine Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The balancing principle for parameter choice in distance-regularized domain adaptation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Large-Scale Wasserstein Gradient Flows
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards mental time travel: a hierarchical memory for reinforcement learning agents
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Non-Gaussian Gaussian Processes for Few-Shot Regression
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Robustness between the worst and average case
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal Inference for Event Pairs in Multivariate Point Processes
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
BARTScore: Evaluating Generated Text as Text Generation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bandits with Knapsacks beyond the Worst Case
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Biological learning in key-value memory networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One Explanation is Not Enough: Structured Attention Graphs for Image Classification
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Inductive Biases for Heterogeneous Treatment Effect Estimation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deconditional Downscaling with Gaussian Processes
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient methods for Gaussian Markov random fields under sparse linear constraints
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Analysis of one-hidden-layer neural networks via the resolvent method
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Morié Attack (MA): A New Potential Risk of Screen Photos
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Medical Dead-ends and Learning to Identify High-Risk States and Treatments
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On UMAP's True Loss Function
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unique sparse decomposition of low rank matrices
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Robustness using Generated Data
[
Slides]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Score-based Generative Neural Networks for Large-Scale Optimal Transport
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Across-animal odor decoding by probabilistic manifold alignment
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Suboptimality of Thompson Sampling in High Dimensions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Difficulty of Passive Learning in Deep Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta-Learning Reliable Priors in the Function Space
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Linear-Time Probabilistic Solution of Boundary Value Problems
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Streaming Belief Propagation for Community Detection
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning with Algorithmic Supervision via Continuous Relaxations
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal Effect Inference for Structured Treatments
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Language models enable zero-shot prediction of the effects of mutations on protein function
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Refining Language Models with Compositional Explanations
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scaling Vision with Sparse Mixture of Experts
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Generalized Gumbel-max Causal Mechanisms
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Provably Strict Generalisation Benefit for Invariance in Kernel Methods
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep Learning Through the Lens of Example Difficulty
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient Bayesian network structure learning via local Markov boundary search
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dense Unsupervised Learning for Video Segmentation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Continuous vs. Discrete Optimization of Deep Neural Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Equilibria in Matching Markets from Bandit Feedback
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Evaluating model performance under worst-case subpopulations
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Exact Characterization of the Generalization Error for the Gibbs Algorithm
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Interpolation can hurt robust generalization even when there is no noise
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Explaining Hyperparameter Optimization via Partial Dependence Plots
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Indexed Minimum Empirical Divergence for Unimodal Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Best-Arm Identification Methods for Tail-Risk Measures
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Row-clustering of a Point Process-valued Matrix
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Charting and Navigating the Space of Solutions for Recurrent Neural Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Escape saddle points by a simple gradient-descent based algorithm
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deformable Butterfly: A Highly Structured and Sparse Linear Transform
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Finding Bipartite Components in Hypergraphs
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Design of Experiments for Stochastic Contextual Linear Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Deep Reinforcement Learning at the Edge of the Statistical Precipice
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Debiased Representation via Disentangled Feature Augmentation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A flow-based latent state generative model of neural population responses to natural images
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning the optimal Tikhonov regularizer for inverse problems
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Circuit Synthesis from Specification Patterns
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Treatment Effects in Panels with General Intervention Patterns
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A Universal Law of Robustness via Isoperimetry
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Offline Model-based Adaptable Policy Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Arbitrary Conditional Distributions with Energy
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Human-Adversarial Visual Question Answering
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta Learning Backpropagation And Improving It
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
InfoGCL: Information-Aware Graph Contrastive Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Exploiting a Zoo of Checkpoints for Unseen Tasks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamic population-based meta-learning for multi-agent communication with natural language
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A unified framework for bandit multiple testing
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Memory Efficient Meta-Learning with Large Images
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Component Interactions in Two-Stage Recommender Systems
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
ReAct: Out-of-distribution Detection With Rectified Activations
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reformulating Zero-shot Action Recognition for Multi-label Actions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Diverse Model Selection for Accessible Transfer Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
[
OpenReview]
Affinity Workshop
Tue Dec 07 10:00 AM -- 03:00 PM (PST)
LatinX in AI (LXAI) Research @ NeurIPS 2021
[
GatherTown]
Competition
Tue Dec 07 10:00 AM -- 03:04 PM (PST)
Competition Track Day 1: Overviews + Breakout Sessions
Affinity Workshop
Tue Dec 07 11:00 AM -- 02:33 PM (PST)
New in ML 2
Invited Talk
Tue Dec 07 03:00 PM -- 04:30 PM (PST)
The Banality of Scale: A Theory on the Limits of Modeling Bias and Fairness Frameworks for Social Justice (and other lessons from the Pandemic)
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
DeepGEM: Generalized Expectation-Maximization for Blind Inversion
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
K-level Reasoning for Zero-Shot Coordination in Hanabi
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
PiRank: Scalable Learning To Rank via Differentiable Sorting
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Out-of-Distribution Generalization in Kernel Regression
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Faster Decentralized Algorithm for Nonconvex Minimax Problems
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Temporal-attentive Covariance Pooling Networks for Video Recognition
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Parameter Prediction for Unseen Deep Architectures
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Efficient Truncated Linear Regression with Unknown Noise Variance
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
CLIP-It! Language-Guided Video Summarization
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Information is Power: Intrinsic Control via Information Capture
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Self-Supervised Learning with Kernel Dependence Maximization
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unifying lower bounds on prediction dimension of convex surrogates
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Amortized Variational Inference for Simple Hierarchical Models
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Densely connected normalizing flows
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Particle Cloud Generation with Message Passing Generative Adversarial Networks
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Do Transformers Really Perform Badly for Graph Representation?
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Machine learning structure preserving brackets for forecasting irreversible processes
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Automorphic Equivalence-aware Graph Neural Network
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Cryptographic Hardness of Learning Single Periodic Neurons
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
ELLA: Exploration through Learned Language Abstraction
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Augmented Shortcuts for Vision Transformers
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
UniDoc: Unified Pretraining Framework for Document Understanding
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
AC-GC: Lossy Activation Compression with Guaranteed Convergence
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A mechanistic multi-area recurrent network model of decision-making
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning where to learn: Gradient sparsity in meta and continual learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Overparameterization Improves Robustness to Covariate Shift in High Dimensions
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
TopicNet: Semantic Graph-Guided Topic Discovery
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Foreground Extraction via Deep Region Competition
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Remember What You Want to Forget: Algorithms for Machine Unlearning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Exponential Graph is Provably Efficient for Decentralized Deep Training
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reconstruction for Powerful Graph Representations
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Deep Residual Learning in Spiking Neural Networks
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking Neural Operations for Diverse Tasks
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Generalized Proximal Policy Optimization with Sample Reuse
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Gradual Domain Adaptation without Indexed Intermediate Domains
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dynamic Normalization and Relay for Video Action Recognition
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
AugMax: Adversarial Composition of Random Augmentations for Robust Training
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
XDO: A Double Oracle Algorithm for Extensive-Form Games
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
MADE: Exploration via Maximizing Deviation from Explored Regions
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Multi-Implicit Neural Representation for Fonts
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
EIGNN: Efficient Infinite-Depth Graph Neural Networks
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Robust Regression Revisited: Acceleration and Improved Estimation Rates
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Revisiting 3D Object Detection From an Egocentric Perspective
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards Biologically Plausible Convolutional Networks
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Multi-Person 3D Motion Prediction with Multi-Range Transformers
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Simulation of Soft Multi-body Systems
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dimensionality Reduction for Wasserstein Barycenter
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Choose a Transformer: Fourier or Galerkin
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Understanding the Effect of Stochasticity in Policy Optimization
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Fine-grained Generalization Analysis of Inductive Matrix Completion
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Lossy Compression for Lossless Prediction
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Improved Transformer for High-Resolution GANs
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding How Encoder-Decoder Architectures Attend
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning with Noisy Correspondence for Cross-modal Matching
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
NovelD: A Simple yet Effective Exploration Criterion
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Object-Level Representation Learning from Scene Images
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Value of Infinite Gradients in Variational Autoencoder Models
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Large Neighborhood Search Policy for Integer Programming
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
MagNet: A Neural Network for Directed Graphs
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding the Under-Coverage Bias in Uncertainty Estimation
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
The Role of Global Labels in Few-Shot Classification and How to Infer Them
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Meta-learning with an Adaptive Task Scheduler
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Variance of the Fisher Information for Deep Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Discovery of Options via Meta-Learned Subgoals
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Accumulative Poisoning Attacks on Real-time Data
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Direct Multi-view Multi-person 3D Pose Estimation
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards a Theoretical Framework of Out-of-Distribution Generalization
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unadversarial Examples: Designing Objects for Robust Vision
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Space Partitions for Path Planning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Machine versus Human Attention in Deep Reinforcement Learning Tasks
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Provably efficient multi-task reinforcement learning with model transfer
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Weighted model estimation for offline model-based reinforcement learning
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking Graph Transformers with Spectral Attention
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Predicting Event Memorability from Contextual Visual Semantics
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
SSMF: Shifting Seasonal Matrix Factorization
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Residual Pathway Priors for Soft Equivariance Constraints
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Novel Upper Bounds for the Constrained Most Probable Explanation Task
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Prior-independent Dynamic Auctions for a Value-maximizing Buyer
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
MOMA: Multi-Object Multi-Actor Activity Parsing
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Few-Shot Data-Driven Algorithms for Low Rank Approximation
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Low-Rank Constraints for Fast Inference in Structured Models
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
List-Decodable Mean Estimation in Nearly-PCA Time
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reverse engineering learned optimizers reveals known and novel mechanisms
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Generalized DataWeighting via Class-Level Gradient Manipulation
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Robust Auction Design in the Auto-bidding World
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Bandit Learning with Delayed Impact of Actions
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Functional Neural Networks for Parametric Image Restoration Problems
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Heavy Ball Neural Ordinary Differential Equations
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Absolute Neighbour Difference based Correlation Test for Detecting Heteroscedastic Relationships
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Nearly Horizon-Free Offline Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Frequency Domain Approximation for Binary Neural Networks
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploring Forensic Dental Identification with Deep Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Representation Learning on Spatial Networks
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Excess Capacity and Backdoor Poisoning
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Self-Supervised Multi-Object Tracking with Cross-input Consistency
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Scheduling jobs with stochastic holding costs
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Escaping Saddle Points with Compressed SGD
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Quantifying and Improving Transferability in Domain Generalization
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Taxonomizing local versus global structure in neural network loss landscapes
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards Robust Bisimulation Metric Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Modified Frank Wolfe in Probability Space
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning State Representations from Random Deep Action-conditional Predictions
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Curriculum Learning for Vision-and-Language Navigation
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
How Data Augmentation affects Optimization for Linear Regression
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Subgroup Generalization and Fairness of Graph Neural Networks
[
OpenReview]
Invited Talk (Breiman Lecture)
Tue Dec 07 11:00 PM -- 12:30 AM (PST)
Do We Know How to Estimate the Mean?
Datasets and Benchmarks
Wed Dec 08 12:00 AM -- 02:00 AM (PST) @ Virtual
Dataset and Benchmark Poster Session 2
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Information-theoretic generalization bounds for black-box learning algorithms
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Implicit Sparse Regularization: The Impact of Depth and Early Stopping
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
RIM: Reliable Influence-based Active Learning on Graphs
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Optimal Robustness to Adversarial Corruption in Online Decision Problems
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Modality-Agnostic Topology Aware Localization
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
When Is Unsupervised Disentanglement Possible?
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Batch Normalization Orthogonalizes Representations in Deep Random Networks
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Mitigating Forgetting in Online Continual Learning with Neuron Calibration
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
AFEC: Active Forgetting of Negative Transfer in Continual Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
The Image Local Autoregressive Transformer
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On the Convergence of Step Decay Step-Size for Stochastic Optimization
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Variational Bayesian Reinforcement Learning with Regret Bounds
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
All Tokens Matter: Token Labeling for Training Better Vision Transformers
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
AutoGEL: An Automated Graph Neural Network with Explicit Link Information
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
An Empirical Study of Adder Neural Networks for Object Detection
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Efficient and Accurate Gradients for Neural SDEs
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Online Learning Of Neural Computations From Sparse Temporal Feedback
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Recognizing Vector Graphics without Rasterization
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
FINE Samples for Learning with Noisy Labels
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Node Dependent Local Smoothing for Scalable Graph Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Additive Models: Interpretable Machine Learning with Neural Nets
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unfolding Taylor's Approximations for Image Restoration
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Scalable Rule-Based Representation Learning for Interpretable Classification
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Parametrized Quantum Policies for Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adaptive Online Packing-guided Search for POMDPs
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning to dehaze with polarization
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Coarse-to-fine Animal Pose and Shape Estimation
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Neural Relightable Participating Media Rendering
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Accurately Solving Rod Dynamics with Graph Learning
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Differentiable Learning Under Triage
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Fast Abductive Learning by Similarity-based Consistency Optimization
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
K-Net: Towards Unified Image Segmentation
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sifting through the noise: Universal first-order methods for stochastic variational inequalities
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Word2Fun: Modelling Words as Functions for Diachronic Word Representation
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Online Variational Filtering and Parameter Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Architecture Dilation for Adversarial Robustness
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Global Filter Networks for Image Classification
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Distilling Image Classifiers in Object Detectors
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Multimodal and Multilingual Embeddings for Large-Scale Speech Mining
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Causal Semantic Representation for Out-of-Distribution Prediction
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Handling Long-tailed Feature Distribution in AdderNets
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Instance-Conditional Knowledge Distillation for Object Detection
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
RelaySum for Decentralized Deep Learning on Heterogeneous Data
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Searching Parameterized AP Loss for Object Detection
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
VAST: Value Function Factorization with Variable Agent Sub-Teams
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Probabilistic Margins for Instance Reweighting in Adversarial Training
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
CentripetalText: An Efficient Text Instance Representation for Scene Text Detection
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
3D Pose Transfer with Correspondence Learning and Mesh Refinement
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Credit Assignment in Neural Networks through Deep Feedback Control
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Image Generation using Continuous Filter Atoms
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Riemannian metric for disease progression modeling
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Variational Inference for Continuous-Time Switching Dynamical Systems
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Debiased Visual Question Answering from Feature and Sample Perspectives
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Dual-stream Network for Visual Recognition
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Smooth Bilevel Programming for Sparse Regularization
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Few-Shot Object Detection via Association and DIscrimination
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Neighborhood Reconstructing Autoencoders
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Posterior Meta-Replay for Continual Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Structured Dropout Variational Inference for Bayesian Neural Networks
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A/B/n Testing with Control in the Presence of Subpopulations
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Fast Axiomatic Attribution for Neural Networks
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Dynamic Grained Encoder for Vision Transformers
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A PAC-Bayes Analysis of Adversarial Robustness
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Rate-Optimal Subspace Estimation on Random Graphs
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Optimizing Conditional Value-At-Risk of Black-Box Functions
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Differentiable Synthesis of Program Architectures
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Transferable Adversarial Perturbations
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
IQ-Learn: Inverse soft-Q Learning for Imitation
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DualNet: Continual Learning, Fast and Slow
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Garment4D: Garment Reconstruction from Point Cloud Sequences
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Mining the Benefits of Two-stage and One-stage HOI Detection
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
VoiceMixer: Adversarial Voice Style Mixup
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Collaborative Policies to Solve NP-hard Routing Problems
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Distilling Object Detectors with Feature Richness
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Do Input Gradients Highlight Discriminative Features?
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Natural continual learning: success is a journey, not (just) a destination
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Improving black-box optimization in VAE latent space using decoder uncertainty
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Convex-Concave Min-Max Stackelberg Games
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Post-Training Quantization for Vision Transformer
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Safe Reinforcement Learning by Imagining the Near Future
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Offline Reinforcement Learning with Reverse Model-based Imagination
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Action-guided 3D Human Motion Prediction
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Navigating to the Best Policy in Markov Decision Processes
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Topology-Imbalance Learning for Semi-Supervised Node Classification
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Relative Uncertainty Learning for Facial Expression Recognition
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Graph Adversarial Self-Supervised Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Multi-View Representation Learning via Total Correlation Objective
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Data-Efficient Instance Generation from Instance Discrimination
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Dubber: Dubbing for Videos According to Scripts
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Instance-Dependent Partial Label Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Non-commutative Extension of Lee-Seung's Algorithm for Positive Semidefinite Factorizations
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Policy Learning Using Weak Supervision
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Optimal Interpolation in Linear Regression
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Improving Deep Learning Interpretability by Saliency Guided Training
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A single gradient step finds adversarial examples on random two-layers neural networks
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Weak-shot Fine-grained Classification via Similarity Transfer
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Contextual Similarity Aggregation with Self-attention for Visual Re-ranking
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
No-regret Online Learning over Riemannian Manifolds
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Regularized Softmax Deep Multi-Agent Q-Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
A Framework to Learn with Interpretation
[
Slides]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
PolarStream: Streaming Object Detection and Segmentation with Polar Pillars
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Hard-Attention for Scalable Image Classification
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Joint Learning for Solving Placement and Routing in Chip Design
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Diverse Policies in MOBA Games via Macro-Goals
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Loss function based second-order Jensen inequality and its application to particle variational inference
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Efficient Training of Visual Transformers with Small Datasets
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adversarial Examples in Multi-Layer Random ReLU Networks
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Alignment Attention by Matching Key and Query Distributions
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Conjoint Attentions for Graph Neural Nets
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
OctField: Hierarchical Implicit Functions for 3D Modeling
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Predicting Molecular Conformation via Dynamic Graph Score Matching
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A 3D Generative Model for Structure-Based Drug Design
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Debiased and Disentangled Representations for Semantic Segmentation
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adversarial Teacher-Student Representation Learning for Domain Generalization
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Video Instance Segmentation using Inter-Frame Communication Transformers
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Uncertainty Quantification and Deep Ensembles
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Nonparametric Volterra Kernels with Gaussian Processes
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
MLP-Mixer: An all-MLP Architecture for Vision
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
BooVAE: Boosting Approach for Continual Learning of VAE
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Robust Pose Estimation in Crowded Scenes with Direct Pose-Level Inference
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Deep Molecular Representation Learning via Fusing Physical and Chemical Information
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Control Variates for Slate Off-Policy Evaluation
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Self-Instantiated Recurrent Units with Dynamic Soft Recursion
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Metropolis-Hastings Data Augmentation for Graph Neural Networks
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Alias-Free Generative Adversarial Networks
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
What Matters for Adversarial Imitation Learning?
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Self-Supervised GANs with Label Augmentation
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Exploiting Domain-Specific Features to Enhance Domain Generalization
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learnability of Linear Thresholds from Label Proportions
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Pruning Randomly Initialized Neural Networks with Iterative Randomization
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generative vs. Discriminative: Rethinking The Meta-Continual Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Meta-Learning Sparse Implicit Neural Representations
[
OpenReview]
Competition
Wed Dec 08 02:00 AM -- 06:44 AM (PST)
Competition Track Day 2: Overviews + Breakout Sessions
Panel
Wed Dec 08 07:00 AM -- 08:00 AM (PST)
The Role of Benchmarks in the Scientific Progress of Machine Learning
Datasets and Benchmarks
Wed Dec 08 08:00 AM -- 09:00 AM (PST)
Dataset and Benchmark Track 2
Oral
Wed Dec 08 08:00 AM -- 08:15 AM (PST)
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
Oral
Wed Dec 08 08:00 AM -- 08:15 AM (PST)
Partial success in closing the gap between human and machine vision
Oral
Wed Dec 08 08:00 AM -- 08:15 AM (PST)
Unsupervised Speech Recognition
Oral
Wed Dec 08 08:00 AM -- 08:15 AM (PST)
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
Oral
Wed Dec 08 08:20 AM -- 08:35 AM (PST)
Oracle Complexity in Nonsmooth Nonconvex Optimization
Oral
Wed Dec 08 08:20 AM -- 08:35 AM (PST)
Bellman-consistent Pessimism for Offline Reinforcement Learning
Oral
Wed Dec 08 08:20 AM -- 08:35 AM (PST)
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Oral
Wed Dec 08 08:20 AM -- 08:35 AM (PST)
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Demonstration
Wed Dec 08 08:30 AM -- 09:50 AM (PST)
Demonstrations 2
Oral
Wed Dec 08 08:40 AM -- 08:55 AM (PST)
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Oral
Wed Dec 08 08:40 AM -- 08:55 AM (PST)
Faster Matchings via Learned Duals
Oral
Wed Dec 08 08:40 AM -- 08:55 AM (PST)
Volume Rendering of Neural Implicit Surfaces
Oral
Wed Dec 08 08:40 AM -- 08:55 AM (PST)
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
Town Hall
Wed Dec 08 09:00 AM -- 10:00 AM (PST)
Town Hall
Affinity Workshop
Wed Dec 08 10:30 AM -- 01:30 PM (PST)
Queer in AI Workshop 2
Affinity Workshop
Wed Dec 08 11:00 AM -- 02:30 PM (PST)
Indigenous in AI Workshop
Invited Talk (Posner Lecture)
Wed Dec 08 03:00 PM -- 04:30 PM (PST)
Benign Overfitting
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Controlled Text Generation as Continuous Optimization with Multiple Constraints
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Self-Dissimilarities as Powerful Visual Fingerprints
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Adaptable Agent Populations via a Generative Model of Policies
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Emergent Communication under Varying Sizes and Connectivities
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
RoMA: Robust Model Adaptation for Offline Model-based Optimization
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Provably Faster Algorithms for Bilevel Optimization
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Differentiable Quality Diversity
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Posterior Collapse and Latent Variable Non-identifiability
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Adversarial Attack Generation Empowered by Min-Max Optimization
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gone Fishing: Neural Active Learning with Fisher Embeddings
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Counterbalancing Learning and Strategic Incentives in Allocation Markets
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Topological Detection of Trojaned Neural Networks
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Multi-task Learning of Order-Consistent Causal Graphs
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Offline Reinforcement Learning as One Big Sequence Modeling Problem
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Referring Transformer: A One-step Approach to Multi-task Visual Grounding
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
What Makes Multi-Modal Learning Better than Single (Provably)
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Estimating High Order Gradients of the Data Distribution by Denoising
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Towards a Unified Information-Theoretic Framework for Generalization
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MobILE: Model-Based Imitation Learning From Observation Alone
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Maximum Likelihood Training of Score-Based Diffusion Models
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Change Point Detection via Multivariate Singular Spectrum Analysis
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Shifted Chunk Transformer for Spatio-Temporal Representational Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Continuous Doubly Constrained Batch Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Lifelong Domain Adaptation via Consolidated Internal Distribution
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Autobahn: Automorphism-based Graph Neural Nets
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Continual Learning via Local Module Composition
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Does Preprocessing Help Training Over-parameterized Neural Networks?
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning with Holographic Reduced Representations
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Teaching an Active Learner with Contrastive Examples
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Class-Incremental Learning via Dual Augmentation
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Fine-Grained Zero-Shot Learning with DNA as Side Information
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On Effective Scheduling of Model-based Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Uncertain Decisions Facilitate Better Preference Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Universal Approximation Using Well-Conditioned Normalizing Flows
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Efficient constrained sampling via the mirror-Langevin algorithm
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Blending Anti-Aliasing into Vision Transformer
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Towards Efficient and Effective Adversarial Training
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Max-Min Entropy Framework for Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Convergence Analysis of Gradient Descent on Graph Neural Networks
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Scaling Up Exact Neural Network Compression by ReLU Stability
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Representation Power of Set Pooling Networks
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Diverse Message Passing for Attribute with Heterophily
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Geometric Analysis of Neural Collapse with Unconstrained Features
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Variance-Aware Off-Policy Evaluation with Linear Function Approximation
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Provably efficient, succinct, and precise explanations
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Distilled Collaboration Graph for Multi-Agent Perception
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
HRFormer: High-Resolution Vision Transformer for Dense Predict
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Active 3D Shape Reconstruction from Vision and Touch
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Bootstrapping the Error of Oja's Algorithm
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Optimal prediction of Markov chains with and without spectral gap
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Efficient Active Learning for Gaussian Process Classification by Error Reduction
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Generalization Bounds for (Wasserstein) Robust Optimization
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Collapsed Variational Bounds for Bayesian Neural Networks
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Representing Long-Range Context for Graph Neural Networks with Global Attention
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Parameterized Knowledge Transfer for Personalized Federated Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Graph Neural Networks with Adaptive Residual
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Topological Perspective on Causal Inference
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
How Modular should Neural Module Networks Be for Systematic Generalization?
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Neural Active Learning with Performance Guarantees
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Second-order Convergence Properties of Random Search Methods
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Scaling Neural Tangent Kernels via Sketching and Random Features
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Evaluating Efficient Performance Estimators of Neural Architectures
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Class-Disentanglement and Applications in Adversarial Detection and Defense
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Finite Sample Analysis of Average-Reward TD Learning and $Q$-Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MST: Masked Self-Supervised Transformer for Visual Representation
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Focal Attention for Long-Range Interactions in Vision Transformers
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Fast Federated Learning in the Presence of Arbitrary Device Unavailability
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A nonparametric method for gradual change problems with statistical guarantees
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Hyperparameter Tuning is All You Need for LISTA
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Bayesian Optimization of Function Networks
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Characterizing possible failure modes in physics-informed neural networks
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Pretraining Representations for Data-Efficient Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Soft Calibration Objectives for Neural Networks
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
NAS-Bench-x11 and the Power of Learning Curves
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Stochastic Stability of Deep Markov Models
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Demystifying and Generalizing BinaryConnect
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Nested Counterfactual Identification from Arbitrary Surrogate Experiments
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
The staircase property: How hierarchical structure can guide deep learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Probability Paths and the Structure of Predictions over Time
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Stochastic Newton Algorithm for Distributed Convex Optimization
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sequence-to-Sequence Learning with Latent Neural Grammars
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Robust Compressed Sensing MRI with Deep Generative Priors
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Manipulating SGD with Data Ordering Attacks
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Breaking the Dilemma of Medical Image-to-image Translation
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Coupled Gradient Estimators for Discrete Latent Variables
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Permuton-induced Chinese Restaurant Process
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revisiting Model Stitching to Compare Neural Representations
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sub-Linear Memory: How to Make Performers SLiM
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A generative nonparametric Bayesian model for whole genomes
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Coresets for Classification – Simplified and Strengthened
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Extended Hazard Models for Survival Analysis
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Robust Optimization for Multilingual Translation with Imbalanced Data
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Emergent Discrete Communication in Semantic Spaces
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revenue maximization via machine learning with noisy data
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
When Is Generalizable Reinforcement Learning Tractable?
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Multiple Descent: Design Your Own Generalization Curve
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Exact marginal prior distributions of finite Bayesian neural networks
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Online Learning in Periodic Zero-Sum Games
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Forster Decomposition and Learning Halfspaces with Noise
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Diffusion Models Beat GANs on Image Synthesis
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Expected Complexity of Maxout Networks
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Selective Sampling for Online Best-arm Identification
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Value of Interaction and Function Approximation in Imitation Learning
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Student-Friendly Teacher Networks for Knowledge Distillation
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
[
Slides]
[
OpenReview]
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Progressive Coordinate Transforms for Monocular 3D Object Detection
[
OpenReview]
Affinity Workshop
Wed Dec 08 06:00 PM -- 11:00 PM (PST)
WiML Workshop 1
Invited Talk
Wed Dec 08 11:00 PM -- 12:30 AM (PST)
Optimal Transport: Past, Present, and Future
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning to Combine Per-Example Solutions for Neural Program Synthesis
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
IRM—when it works and when it doesn't: A test case of natural language inference
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Graph Differentiable Architecture Search with Structure Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Refined Learning Bounds for Kernel and Approximate $k$-Means
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Robustifying Algorithms of Learning Latent Trees with Vector Variables
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Cycle Self-Training for Domain Adaptation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Provable Generalization of Recurrent Neural Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Note on Sparse Generalized Eigenvalue Problem
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Latent Matters: Learning Deep State-Space Models
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Uncertainty-Driven Loss for Single Image Super-Resolution
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning interaction rules from multi-animal trajectories via augmented behavioral models
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Entropy-based adaptive Hamiltonian Monte Carlo
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Disentangled Contrastive Learning on Graphs
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Tactical Optimism and Pessimism for Deep Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Generalization Guarantee of SGD for Pairwise Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Continual Bayesian Meta-Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Generalizable Multi-linear Attention Network
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Identifiability in inverse reinforcement learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Causal Bandits with Unknown Graph Structure
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Universal Off-Policy Evaluation
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Oracle Complexity in Nonsmooth Nonconvex Optimization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Few-Round Learning for Federated Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Multi-Label Learning with Pairwise Relevance Ordering
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PSD Representations for Effective Probability Models
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ROI Maximization in Stochastic Online Decision-Making
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Modular Gaussian Processes for Transfer Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Doubly Robust Thompson Sampling with Linear Payoffs
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Faster Non-asymptotic Convergence for Double Q-learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stylized Dialogue Generation with Multi-Pass Dual Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Integrating Tree Path in Transformer for Code Representation
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Conditional Gaussian Mixture Model for Constrained Clustering
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Causal Identification with Matrix Equations
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Time-independent Generalization Bounds for SGLD in Non-convex Settings
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Independent mechanism analysis, a new concept?
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Precise characterization of the prior predictive distribution of deep ReLU networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Personalized Federated Learning With Gaussian Processes
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Adversarial Reweighting for Partial Domain Adaptation
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
CATs: Cost Aggregation Transformers for Visual Correspondence
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Parameter-free HE-friendly Logistic Regression
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient Learning of Discrete-Continuous Computation Graphs
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model Selection for Bayesian Autoencoders
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Decentralized Q-learning in Zero-sum Markov Games
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Meta-Learning for Relative Density-Ratio Estimation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Curriculum Disentangled Recommendation with Noisy Multi-feedback
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Complexity of Bayesian Network Learning: Revisiting the Superstructure
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Well-tuned Simple Nets Excel on Tabular Datasets
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Combinatorial Pure Exploration with Bottleneck Reward Function
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Differentially Private Multi-Armed Bandits in the Shuffle Model
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Subquadratic Overparameterization for Shallow Neural Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
De-randomizing MCMC dynamics with the diffusion Stein operator
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Structure-Aware Random Fourier Kernel for Graphs
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient Combination of Rematerialization and Offloading for Training DNNs
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Gradient Method for Multilevel Optimization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Automatic Data Augmentation for Generalization in Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Global Convergence of Online Optimization for Nonlinear Model Predictive Control
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Post-Training Sparsity-Aware Quantization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Making the most of your day: online learning for optimal allocation of time
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Instance-optimal Mean Estimation Under Differential Privacy
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
DRONE: Data-aware Low-rank Compression for Large NLP Models
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Adaptive Data Augmentation on Temporal Graphs
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Conformal Prediction using Conditional Histograms
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
BooVI: Provably Efficient Bootstrapped Value Iteration
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking the Variational Interpretation of Accelerated Optimization Methods
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Understanding Partial Multi-Label Learning via Mutual Information
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Understanding Bandits with Graph Feedback
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Hessian Eigenspectra of More Realistic Nonlinear Models
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic bandits with groups of similar arms.
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Low-Fidelity Video Encoder Optimization for Temporal Action Localization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Subgoal Search For Complex Reasoning Tasks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Numerical Composition of Differential Privacy
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Hypergraph Propagation and Community Selection for Objects Retrieval
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Overlapping Spaces for Compact Graph Representations
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
History Aware Multimodal Transformer for Vision-and-Language Navigation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Compositional Reinforcement Learning from Logical Specifications
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Preserved central model for faster bidirectional compression in distributed settings
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Uncertainty Calibration for Ensemble-Based Debiasing Methods
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Do Different Tracking Tasks Require Different Appearance Models?
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Gradient Inversion with Generative Image Prior
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking gradient sparsification as total error minimization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Co-evolution Transformer for Protein Contact Prediction
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Supervised Learning Disentangled Group Representation as Feature
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Agent Modelling under Partial Observability for Deep Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Associating Objects with Transformers for Video Object Segmentation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Information Directed Reward Learning for Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
SWAD: Domain Generalization by Seeking Flat Minima
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning curves of generic features maps for realistic datasets with a teacher-student model
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Powerpropagation: A sparsity inducing weight reparameterisation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Estimation Bias in Double Q-Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On learning sparse vectors from mixture of responses
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Proportional Participatory Budgeting with Additive Utilities
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model-Based Reinforcement Learning via Imagination with Derived Memory
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Counterexample Guided RL Policy Refinement Using Bayesian Optimization
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rectifying the Shortcut Learning of Background for Few-Shot Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Multi-Task Learning with Gumbel-Softmax Priors
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
What can linearized neural networks actually say about generalization?
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Implicit Bias of Minima Stability: A View from Function Space
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
How Tight Can PAC-Bayes be in the Small Data Regime?
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Asynchronous Decentralized SGD with Quantized and Local Updates
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Error Compensated Distributed SGD Can Be Accelerated
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Multi-Armed Bandits with Control Variates
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Online Meta-Learning via Learning with Layer-Distributed Memory
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient and Local Parallel Random Walks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Artistic Style Transfer with Internal-external Learning and Contrastive Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
What’s a good imputation to predict with missing values?
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Deep Contextual Video Compression
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Graphical Models in Heavy-Tailed Markets
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
See More for Scene: Pairwise Consistency Learning for Scene Classification
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Lip to Speech Synthesis with Visual Context Attentional GAN
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Truncated Marginal Neural Ratio Estimation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Re-ranking for image retrieval and transductive few-shot classification
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning a Single Neuron with Bias Using Gradient Descent
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Effective Meta-Regularization by Kernelized Proximal Regularization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Asynchronous Decentralized Online Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Diversity Matters When Learning From Ensembles
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Global-aware Beam Search for Neural Abstractive Summarization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
[
OpenReview]
Invited Talk (Interview)
Thu Dec 09 07:00 AM -- 08:30 AM (PST)
A Conversation on Human and Machine Intelligence
Datasets and Benchmarks
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Dataset and Benchmark Poster Session 3
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Distributed Principal Component Analysis with Limited Communication
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Asynchronous Stochastic Optimization Robust to Arbitrary Delays
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning Markov State Abstractions for Deep Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
An online passive-aggressive algorithm for difference-of-squares classification
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Non-asymptotic Error Bounds for Bidirectional GANs
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Stochastic $L^\natural$-convex Function Minimization
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Best-of-All-Worlds Online Learning with Feedback Graphs
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Distribution-free inference for regression: discrete, continuous, and in between
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Boosted CVaR Classification
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Out-of-distribution Generalization of Probabilistic Image Modelling
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Heavy Ball Momentum for Conditional Gradient
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Assessing Fairness in the Presence of Missing Data
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Photonic Differential Privacy with Direct Feedback Alignment
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Hyperbolic Busemann Learning with Ideal Prototypes
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Asymptotics of representation learning in finite Bayesian neural networks
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multiclass Boosting and the Cost of Weak Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
A Central Limit Theorem for Differentially Private Query Answering
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Surrogate Regret Bounds for Polyhedral Losses
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Near-Optimal No-Regret Learning in General Games
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Context-Agnostic Learning Using Synthetic Data
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning Semantic Representations to Verify Hardware Designs
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Market Equilibrium with Application to Fair Division
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Optimality and Stability in Federated Learning: A Game-theoretic Approach
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Individual Privacy Accounting via a Rényi Filter
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adversarial Regression with Doubly Non-negative Weighting Matrices
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Control of Unknown Time-Varying Dynamical Systems
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Margin-Independent Online Multiclass Learning via Convex Geometry
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Conformal Bayesian Computation
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Never Go Full Batch (in Stochastic Convex Optimization)
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multi-Scale Representation Learning on Proteins
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Theory of Reinforcement Learning with Once-per-Episode Feedback
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
TAAC: Temporally Abstract Actor-Critic for Continuous Control
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated Graph Classification over Non-IID Graphs
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Causal Navigation by Continuous-time Neural Networks
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Provable Representation Learning for Imitation with Contrastive Fourier Features
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mixture weights optimisation for Alpha-Divergence Variational Inference
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Settling the Variance of Multi-Agent Policy Gradients
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Can multi-label classification networks know what they don’t know?
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improving Compositionality of Neural Networks by Decoding Representations to Inputs
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
The Skellam Mechanism for Differentially Private Federated Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning in two-player zero-sum partially observable Markov games with perfect recall
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adapting to function difficulty and growth conditions in private optimization
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Private and Non-private Uniformity Testing for Ranking Data
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
CogView: Mastering Text-to-Image Generation via Transformers
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Unified Approach to Fair Online Learning via Blackwell Approachability
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Contrastive Reinforcement Learning of Symbolic Reasoning Domains
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Shape As Points: A Differentiable Poisson Solver
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentially Private Sampling from Distributions
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated Reconstruction: Partially Local Federated Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Who Leads and Who Follows in Strategic Classification?
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adaptive Conformal Inference Under Distribution Shift
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Two-sided fairness in rankings via Lorenz dominance
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Optimal Rates for Random Order Online Optimization
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Framing RNN as a kernel method: A neural ODE approach
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Unsupervised Learning of Compositional Energy Concepts
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
MERLOT: Multimodal Neural Script Knowledge Models
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Retiring Adult: New Datasets for Fair Machine Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multimodal Few-Shot Learning with Frozen Language Models
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Beltrami Flow and Neural Diffusion on Graphs
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Risk-Averse Bayes-Adaptive Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Compositional Transformers for Scene Generation
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Networks Provably Classify Data on Curves
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Circa: Stochastic ReLUs for Private Deep Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
CAFE: Catastrophic Data Leakage in Vertical Federated Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Dense Keypoints via Multiview Supervision
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Local Differential Privacy for Regret Minimization in Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Last-iterate Convergence in Extensive-Form Games
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Locally private online change point detection
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reinforcement learning for optimization of variational quantum circuit architectures
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
FACMAC: Factored Multi-Agent Centralised Policy Gradients
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Adaptation to Label Distribution Shift
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards robust vision by multi-task learning on monkey visual cortex
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Functional Variational Inference based on Stochastic Process Generators
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Probabilistic Forecasting: A Level-Set Approach
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Shared Independent Component Analysis for Multi-Subject Neuroimaging
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mixture Proportion Estimation and PU Learning:A Modern Approach
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Locally differentially private estimation of functionals of discrete distributions
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Gradient Starvation: A Learning Proclivity in Neural Networks
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Scalars are universal: Equivariant machine learning, structured like classical physics
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Machine Learning for Variance Reduction in Online Experiments
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Logarithmic Regret in Feature-based Dynamic Pricing
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improving Conditional Coverage via Orthogonal Quantile Regression
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Group Equivariant Subsampling
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Tree in Tree: from Decision Trees to Decision Graphs
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Decision Transformer: Reinforcement Learning via Sequence Modeling
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Fast Pure Exploration via Frank-Wolfe
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Littlestone Classes are Privately Online Learnable
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Analytic Insights into Structure and Rank of Neural Network Hessian Maps
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Federated Multi-Task Learning under a Mixture of Distributions
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
[
Slides]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Tight Communication Lower Bounds for Distributed Optimisation
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adaptive Sampling for Minimax Fair Classification
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Relaxed Marginal Consistency for Differentially Private Query Answering
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards optimally abstaining from prediction with OOD test examples
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Storchastic: A Framework for General Stochastic Automatic Differentiation
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Scheduling for Time-dependent Resources
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Minimizing Polarization and Disagreement in Social Networks via Link Recommendation
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Privately Learning Mixtures of Axis-Aligned Gaussians
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
PettingZoo: Gym for Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Algorithms for Multi-Agent Multi-Armed Bandits
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Label Disentanglement in Partition-based Extreme Multilabel Classification
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Lattice partition recovery with dyadic CART
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
RL for Latent MDPs: Regret Guarantees and a Lower Bound
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning to Schedule Heuristics in Branch and Bound
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
LEADS: Learning Dynamical Systems that Generalize Across Environments
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning in Non-Cooperative Configurable Markov Decision Processes
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Statistical Query Lower Bounds for List-Decodable Linear Regression
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Distributed Saddle-Point Problems Under Data Similarity
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Robust Allocations with Diversity Constraints
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Least Square Calibration for Peer Reviews
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Neural Tangent Kernel Maximum Mean Discrepancy
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the interplay between data structure and loss function in classification problems
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Representation Costs of Linear Neural Networks: Analysis and Design
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Breaking the centralized barrier for cross-device federated learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Neural Trees for Learning on Graphs
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Periodic Activation Functions Induce Stationarity
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
EditGAN: High-Precision Semantic Image Editing
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Outcome-Driven Reinforcement Learning via Variational Inference
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning to Predict Trustworthiness with Steep Slope Loss
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Similarity and Matching of Neural Network Representations
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Inverse Problems Leveraging Pre-trained Contrastive Representations
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Best-case lower bounds in online learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Topological Attention for Time Series Forecasting
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Streaming Linear System Identification with Reverse Experience Replay
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Neural Algorithmic Reasoners are Implicit Planners
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Sample Complexity of Learning under Geometric Stability
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
TokenLearner: Adaptive Space-Time Tokenization for Videos
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
FLEX: Unifying Evaluation for Few-Shot NLP
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
DRIVE: One-bit Distributed Mean Estimation
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Double/Debiased Machine Learning for Dynamic Treatment Effects
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Explicit loss asymptotics in the gradient descent training of neural networks
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Fair Classification with Adversarial Perturbations
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Score-based Generative Modeling in Latent Space
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Average-Reward Learning and Planning with Options
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Controllable and Compositional Generation with Latent-Space Energy-Based Models
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Landscape analysis of an improved power method for tensor decomposition
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Good Classification Measures and How to Find Them
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Replay-Guided Adversarial Environment Design
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reliable Decisions with Threshold Calibration
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Multi-Grained Explainability for Graph Neural Networks
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Planning from Pixels in Environments with Combinatorially Hard Search Spaces
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Distributed Machine Learning with Sparse Heterogeneous Data
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Risk-Aware Transfer in Reinforcement Learning using Successor Features
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Noisy Recurrent Neural Networks
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Curriculum Offline Imitating Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fast and Memory Efficient Differentially Private-SGD via JL Projections
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Linear and Kernel Classification in the Streaming Model: Improved Bounds for Heavy Hitters
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Unsupervised Motion Representation Learning with Capsule Autoencoders
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Representation Learning Beyond Linear Prediction Functions
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Disrupting Deep Uncertainty Estimation Without Harming Accuracy
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multiclass versus Binary Differentially Private PAC Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
XCiT: Cross-Covariance Image Transformers
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning Hard Optimization Problems: A Data Generation Perspective
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Label Noise SGD Provably Prefers Flat Global Minimizers
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Learning with Label Differential Privacy
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Efficient Training of Retrieval Models using Negative Cache
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Training Over-parameterized Models with Non-decomposable Objectives
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Beyond Bandit Feedback in Online Multiclass Classification
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Ensembling Graph Predictions for AMR Parsing
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust and Decomposable Average Precision for Image Retrieval
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-End Weak Supervision
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Shaping embodied agent behavior with activity-context priors from egocentric video
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Twice regularized MDPs and the equivalence between robustness and regularization
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Local policy search with Bayesian optimization
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
User-Level Differentially Private Learning via Correlated Sampling
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mixability made efficient: Fast online multiclass logistic regression
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Learning on a Data Diet: Finding Important Examples Early in Training
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Support vector machines and linear regression coincide with very high-dimensional features
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Explicit Duration Switching Models for Time Series
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Knapsack with Frequency Predictions
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Faster Neural Network Training with Approximate Tensor Operations
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Sampling with Trusthworthy Constraints: A Variational Gradient Framework
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated-EM with heterogeneity mitigation and variance reduction
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Sample Complexity of Privately Learning Axis-Aligned Rectangles
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Directed Probabilistic Watershed
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Exploiting Opponents Under Utility Constraints in Sequential Games
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Estimating the Long-Term Effects of Novel Treatments
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Joint Inference for Neural Network Depth and Dropout Regularization
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Representation Learning for Event-based Visuomotor Policies
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Hierarchical Reinforcement Learning with Timed Subgoals
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Speech-T: Transducer for Text to Speech and Beyond
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adversarial Neuron Pruning Purifies Backdoored Deep Models
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Collaborating with Humans without Human Data
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Safe Reinforcement Learning with Natural Language Constraints
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentially Private Empirical Risk Minimization under the Fairness Lens
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Probabilistic Attention for Interactive Segmentation
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
A/B Testing for Recommender Systems in a Two-sided Marketplace
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On Large-Cohort Training for Federated Learning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Searching for Efficient Transformers for Language Modeling
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning to Generate Visual Questions with Noisy Supervision
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improved Guarantees for Offline Stochastic Matching via new Ordered Contention Resolution Schemes
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Hyperparameter Optimization Is Deceiving Us, and How to Stop It
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
General Nonlinearities in SO(2)-Equivariant CNNs
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning to Synthesize Programs as Interpretable and Generalizable Policies
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Scalable Online Planning via Reinforcement Learning Fine-Tuning
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online false discovery rate control for anomaly detection in time series
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Privately Publishable Per-instance Privacy
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Perturb-and-max-product: Sampling and learning in discrete energy-based models
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improved Regret Bounds for Tracking Experts with Memory
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
How to transfer algorithmic reasoning knowledge to learn new algorithms?
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Parameter Inference with Bifurcation Diagrams
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
[
OpenReview]
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Neural Distance Embeddings for Biological Sequences
[
OpenReview]
Competition
Thu Dec 09 10:00 AM -- 03:04 PM (PST)
Competition Track Day 3: Overviews + Breakout Sessions
Roundtable
Thu Dec 09 10:00 AM -- 11:00 AM (PST)
How Copyright Shapes Your Datasets and What To Do About It
Datasets and Benchmarks
Thu Dec 09 11:00 AM -- 02:00 PM (PST)
Dataset and Benchmark Symposium
Invited Talk
Thu Dec 09 03:00 PM -- 04:30 PM (PST)
Gender, Allyship & Public Interest Technology
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Self-Adaptable Point Processes with Nonparametric Time Decays
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
CoAtNet: Marrying Convolution and Attention for All Data Sizes
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Probabilistic Transformer For Time Series Analysis
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Knowledge-inspired 3D Scene Graph Prediction in Point Cloud
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Extracting Deformation-Aware Local Features by Learning to Deform
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Instance-based Interpretability of Variational Auto-Encoders
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Contrastive Learning Approach for Training Variational Autoencoder Priors
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Equivalence between Neural Network and Support Vector Machine
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differential Privacy Over Riemannian Manifolds
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Adaptive Diffusion in Graph Neural Networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fairness via Representation Neutralization
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Regression Approach to Learning-Augmented Online Algorithms
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unintended Selection: Persistent Qualification Rate Disparities and Interventions
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
True Few-Shot Learning with Language Models
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
How can classical multidimensional scaling go wrong?
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deep Extrapolation for Attribute-Enhanced Generation
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Online Selective Classification with Limited Feedback
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
HyperSPNs: Compact and Expressive Probabilistic Circuits
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning in Multi-Stage Decentralized Matching Markets
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Perturbation Theory for the Information Bottleneck
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Online Robust Reinforcement Learning with Model Uncertainty
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Approximate optimization of convex functions with outlier noise
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Dynamic Trace Estimation
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Unified View of cGANs with and without Classifiers
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Embedding Principle of Loss Landscape of Deep Neural Networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SOFT: Softmax-free Transformer with Linear Complexity
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Time-series Generation by Contrastive Imitation
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
COMBO: Conservative Offline Model-Based Policy Optimization
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Computationally Efficient Method for Learning Exponential Family Distributions
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Generalized Shape Metrics on Neural Representations
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
ProTo: Program-Guided Transformer for Program-Guided Tasks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
TriBERT: Human-centric Audio-visual Representation Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Auditing Black-Box Prediction Models for Data Minimization Compliance
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to delegate for large-scale vehicle routing
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Combiner: Full Attention Transformer with Sparse Computation Cost
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deep Synoptic Monte-Carlo Planning in Reconnaissance Blind Chess
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Long Short-Term Transformer for Online Action Detection
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Assimilate in Chaotic Dynamical Systems
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Slice Sampling Reparameterization Gradients
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Subgraph Federated Learning with Missing Neighbor Generation
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dimension-free empirical entropy estimation
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Realistic evaluation of transductive few-shot learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Conflict-Averse Gradient Descent for Multi-task learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Topographic VAEs learn Equivariant Capsules
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Training Method for Stochastic Compositional Optimization Problems
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differentially Private Learning with Adaptive Clipping
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning 3D Dense Correspondence via Canonical Point Autoencoder
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Grounding Representation Similarity Through Statistical Testing
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Continuous-time edge modelling using non-parametric point processes
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Interlocking Dynamics of Cooperative Rationalization
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Safe Policy Optimization with Local Generalized Linear Function Approximations
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Observation-Free Attacks on Stochastic Bandits
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Backdoor Attack with Imperceptible Input and Latent Modification
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning Signal-Agnostic Manifolds of Neural Fields
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Functional Regularization for Reinforcement Learning via Learned Fourier Features
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding and Improving Early Stopping for Learning with Noisy Labels
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Information-constrained optimization: can adaptive processing of gradients help?
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Few-Shot Segmentation via Cycle-Consistent Transformer
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Minimalist Approach to Offline Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Techniques for Symbol Grounding with SATNet
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Adaptive wavelet distillation from neural networks through interpretations
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dataset Distillation with Infinitely Wide Convolutional Networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Constrained Robust Submodular Partitioning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Generative Utility of Cyclic Conditionals
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Biased Graph Neural Network Sampler with Near-Optimal Regret
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Counterfactual Explanations on Graph Neural Networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Joint inference and input optimization in equilibrium networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Towards understanding retrosynthesis by energy-based models
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Associative Memories via Predictive Coding
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Discovering and Achieving Goals via World Models
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Deep Reinforcement Learning through Adversarial Loss
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fair Sequential Selection Using Supervised Learning Models
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
AutoBalance: Optimized Loss Functions for Imbalanced Data
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Differentially Private Federated Bayesian Optimization with Distributed Exploration
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Optimal Underdamped Langevin MCMC Method
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust and differentially private mean estimation
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Robust Visual Reasoning via Language Guided Neural Module Networks
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Stronger NAS with Weaker Predictors
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Learn Dense Gaussian Processes for Few-Shot Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Select Exogenous Events for Marked Temporal Point Process
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Bounds all around: training energy-based models with bidirectional bounds
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Regulating algorithmic filtering on social media
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Multiwavelet-based Operator Learning for Differential Equations
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficiently Identifying Task Groupings for Multi-Task Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Representing Hyperbolic Space Accurately using Multi-Component Floats
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Pointwise Bounds for Distribution Estimation under Communication Constraints
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Sample Selection for Fair and Robust Training
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Inference with Neural Interpreters
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Meta-Adaptive Nonlinear Control: Theory and Algorithms
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
What training reveals about neural network complexity
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differentially Private Model Personalization
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Conservative Offline Distributional Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Matrix encoding networks for neural combinatorial optimization
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Deflation Process in Over-parametrized Tensor Decomposition
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Decoupling the Depth and Scope of Graph Neural Networks
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Contrastively Disentangled Sequential Variational Autoencoder
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficiently Learning One Hidden Layer ReLU Networks From Queries
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Revealing and Protecting Labels in Distributed Training
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The Benefits of Implicit Regularization from SGD in Least Squares Problems
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Statistical Assessment of Neural Network Corruption Robustness
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Controlling Neural Networks with Rule Representations
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Systematic Generalization with Edge Transformers
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Generalized Linear Bandits with Local Differential Privacy
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Data Sharing and Compression for Cooperative Networked Control
[
OpenReview]
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
UCB-based Algorithms for Multinomial Logistic Regression Bandits
[
OpenReview]
Affinity Workshop
Thu Dec 09 06:00 PM -- 11:00 PM (PST)
WiML Workshop 2
Town Hall
Thu Dec 09 11:00 PM -- 12:00 AM (PST)
Town Hall
Datasets and Benchmarks
Fri Dec 10 12:00 AM -- 01:00 AM (PST)
Dataset and Benchmark Track 3
Oral
Fri Dec 10 12:00 AM -- 12:15 AM (PST)
Passive attention in artificial neural networks predicts human visual selectivity
Oral
Fri Dec 10 12:00 AM -- 12:15 AM (PST)
Risk Monotonicity in Statistical Learning
Q&A
Fri Dec 10 12:15 AM -- 12:20 AM (PST)
Q&A
Oral
Fri Dec 10 12:20 AM -- 12:35 AM (PST)
Shape As Points: A Differentiable Poisson Solver
Oral
Fri Dec 10 12:20 AM -- 12:35 AM (PST)
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
Q&A
Fri Dec 10 12:35 AM -- 12:40 AM (PST)
Q&A
Oral
Fri Dec 10 12:40 AM -- 12:55 AM (PST)
The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian
Oral
Fri Dec 10 12:40 AM -- 12:55 AM (PST)
Optimal Rates for Random Order Online Optimization
Q&A
Fri Dec 10 12:55 AM -- 01:00 AM (PST)
Q&A
Affinity Workshop
Fri Dec 10 02:00 AM -- 07:00 AM (PST)
Black in AI Workshop
Affinity Workshop
Fri Dec 10 02:00 AM -- 07:00 AM (PST)
WiML Workshop 3
Competition
Fri Dec 10 02:00 AM -- 06:44 AM (PST)
Competition Track Day 4: Overviews + Breakout Sessions
Invited Talk
Fri Dec 10 07:00 AM -- 08:30 AM (PST)
The Collective Intelligence of Army Ants, and the Robots They Inspire
Datasets and Benchmarks
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dataset and Benchmark Poster Session 4
Demonstration
Fri Dec 10 08:30 AM -- 09:50 AM (PST)
Demonstrations 4
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Deeper Deep Reinforcement Learning with Spectral Normalization
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Generic Neural Architecture Search via Regression
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Implicit Regularization in Matrix Sensing via Mirror Descent
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Foundations of Symbolic Languages for Model Interpretability
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Last iterate convergence of SGD for Least-Squares in the Interpolation regime.
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Making a (Counterfactual) Difference One Rationale at a Time
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Exploring the Limits of Out-of-Distribution Detection
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Rethinking the Pruning Criteria for Convolutional Neural Network
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Intriguing Properties of Contrastive Losses
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Concentration inequalities under sub-Gaussian and sub-exponential conditions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Communication-efficient SGD: From Local SGD to One-Shot Averaging
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Regularization in ResNet with Stochastic Depth
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Coresets for Clustering with Missing Values
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Explaining Latent Representations with a Corpus of Examples
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Influence Patterns for Explaining Information Flow in BERT
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Comprehensively Tight Analysis of Gradient Descent for PCA
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Does enforcing fairness mitigate biases caused by subpopulation shift?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Algorithmic Instabilities of Accelerated Gradient Descent
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
GemNet: Universal Directional Graph Neural Networks for Molecules
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning with Labeling Induced Abstentions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Generating High-Quality Explanations for Navigation in Partially-Revealed Environments
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Power of Differentiable Learning versus PAC and SQ Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
EDGE: Explaining Deep Reinforcement Learning Policies
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Distributionally Robust Imitation Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Linear Stability of SGD and Input-Smoothness of Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Exponential Separation between Two Learning Models and Adversarial Robustness
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Risk Monotonicity in Statistical Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Value of Information When Deciding What to Learn
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Existence of The Adversarial Bayes Classifier
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Invertible DenseNets with Concatenated LipSwish
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Limits of Optimal Pricing in the Dark
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Parallel and Efficient Hierarchical k-Median Clustering
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Shapley Residuals: Quantifying the limits of the Shapley value for explanations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Normative and Biologically Plausible Algorithm for Independent Component Analysis
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
End-to-end reconstruction meets data-driven regularization for inverse problems
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Constrained Two-step Look-Ahead Bayesian Optimization
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Contrastive Representations of Stochastic Processes
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Sparse is Enough in Scaling Transformers
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Encoding Spatial Distribution of Convolutional Features for Texture Representation
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Early-stopped neural networks are consistent
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
No RL, No Simulation: Learning to Navigate without Navigating
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Explanation-based Data Augmentation for Image Classification
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Per-Pixel Classification is Not All You Need for Semantic Segmentation
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Predicting Deep Neural Network Generalization with Perturbation Response Curves
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
An Information-theoretic Approach to Distribution Shifts
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Structured Denoising Diffusion Models in Discrete State-Spaces
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Nearly-Tight and Oblivious Algorithms for Explainable Clustering
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Efficient Generalization with Distributionally Robust Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hierarchical Skills for Efficient Exploration
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Why Do Better Loss Functions Lead to Less Transferable Features?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Three-dimensional spike localization and improved motion correction for Neuropixels recordings
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
When Are Solutions Connected in Deep Networks?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Practical Near Neighbor Search via Group Testing
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Clustering Effect of Adversarial Robust Models
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Independent Prototype Propagation for Zero-Shot Compositionality
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
CCVS: Context-aware Controllable Video Synthesis
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Convergence of adaptive algorithms for constrained weakly convex optimization
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Better Algorithms for Individually Fair $k$-Clustering
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning latent causal graphs via mixture oracles
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Power of Edge Independent Graph Models
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Explicable Reward Design for Reinforcement Learning Agents
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
To The Point: Correspondence-driven monocular 3D category reconstruction
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Frequency Bias of Generative Models
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Conditional Generation Using Polynomial Expansions
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Facet Clustering Variational Autoencoders
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sequential Algorithms for Testing Closeness of Distributions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Turing Completeness of Bounded-Precision Recurrent Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SNIPS: Solving Noisy Inverse Problems Stochastically
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Ground Multi-Agent Communication with Autoencoders
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
HNPE: Leveraging Global Parameters for Neural Posterior Estimation
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Infinite Time Horizon Safety of Bayesian Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Universal Rate-Distortion-Perception Representations for Lossy Compression
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Space-time Mixing Attention for Video Transformer
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Tracking Without Re-recognition in Humans and Machines
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Sharper Generalization Bounds for Structured Prediction
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Can contrastive learning avoid shortcut solutions?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning to Draw: Emergent Communication through Sketching
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Curriculum Design for Teaching via Demonstrations: Theory and Applications
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scalable Neural Data Server: A Data Recommender for Transfer Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Algorithmic stability and generalization of an unsupervised feature selection algorithm
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Entropic Desired Dynamics for Intrinsic Control
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Online Active Learning with Surrogate Loss Functions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Theoretical Analysis of Fine-tuning with Linear Teachers
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Progressive Feature Interaction Search for Deep Sparse Network
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Flows: Pruning Continuous-depth Models
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Parametric Complexity Bounds for Approximating PDEs with Neural Networks
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Bellman-consistent Pessimism for Offline Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Antipodes of Label Differential Privacy: PATE and ALIBI
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Shift Invariance Can Reduce Adversarial Robustness
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning Knowledge Graph-based World Models of Textual Environments
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Memory-efficient Patch-based Inference for Tiny Deep Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Learning of Global and Local Video Representations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Local Explanation of Dialogue Response Generation
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Near Optimal Policy Optimization via REPS
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Fast-Inference Bayesian Networks
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Interactive Label Cleaning with Example-based Explanations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning in Newcomblike Environments
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
No Regrets for Learning the Prior in Bandits
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
ResT: An Efficient Transformer for Visual Recognition
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
RMM: Reinforced Memory Management for Class-Incremental Learning
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Smooth Normalizing Flows
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Risk-averse Heteroscedastic Bayesian Optimization
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Consistency Regularization for Variational Auto-Encoders
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Bridging the Imitation Gap by Adaptive Insubordination
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Active clustering for labeling training data
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Edge Representation Learning with Hypergraphs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Detecting Anomalous Event Sequences with Temporal Point Processes
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Graph Models for Retrosynthesis Prediction
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improved Regularization and Robustness for Fine-tuning in Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scatterbrain: Unifying Sparse and Low-rank Attention
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Intriguing Properties of Vision Transformers
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Private Non-smooth ERM and SCO in Subquadratic Steps
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Estimating the Unique Information of Continuous Variables
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
How Powerful are Performance Predictors in Neural Architecture Search?
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Play to Grade: Testing Coding Games as Classifying Markov Decision Process
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Feature Desensitization
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robustness of Graph Neural Networks at Scale
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Laplace Redux - Effortless Bayesian Deep Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Efficient Online Estimation of Causal Effects by Deciding What to Observe
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Learning for Neural Topic Model
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Visual Adversarial Imitation Learning using Variational Models
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
COHESIV: Contrastive Object and Hand Embedding Segmentation In Video
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Active Learning of Convex Halfspaces on Graphs
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adaptive Proximal Gradient Methods for Structured Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Speedy Performance Estimation for Neural Architecture Search
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Label consistency in overfitted generalized $k$-means
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Robust and Reliable Algorithmic Recourse
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust Implicit Networks via Non-Euclidean Contractions
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Topological Relational Learning on Graphs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ErrorCompensatedX: error compensation for variance reduced algorithms
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adversarial Training Helps Transfer Learning via Better Representations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Neural Flows: Efficient Alternative to Neural ODEs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Emergent Communication of Generalizations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Large-Scale Unsupervised Object Discovery
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Accelerating Quadratic Optimization with Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Designing Counterfactual Generators using Deep Model Inversion
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adversarial Intrinsic Motivation for Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Lower Bounds on the Depth of ReLU Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hierarchical Clustering: $O(1)$-Approximation for Well-Clustered Graphs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
How Fine-Tuning Allows for Effective Meta-Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Distributed Deep Learning In Open Collaborations
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Online Facility Location with Multiple Advice
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dual Parameterization of Sparse Variational Gaussian Processes
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Minimax Regret for Stochastic Shortest Path
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Invariant Causal Imitation Learning for Generalizable Policies
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Cross-view Geo-localization with Layer-to-Layer Transformer
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Localization, Convexity, and Star Aggregation
[
OpenReview]
Affinity Workshop
Fri Dec 10 11:00 AM -- 03:00 PM (PST)
WiML Workshop 4
Panel
Fri Dec 10 03:00 PM -- 04:00 PM (PST)
How Should a Machine Learning Researcher Think About AI Ethics?
Oral
Fri Dec 10 04:00 PM -- 04:15 PM (PST)
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Oral
Fri Dec 10 04:00 PM -- 04:15 PM (PST)
Moser Flow: Divergence-based Generative Modeling on Manifolds
Oral
Fri Dec 10 04:00 PM -- 04:15 PM (PST)
MERLOT: Multimodal Neural Script Knowledge Models
Oral
Fri Dec 10 04:00 PM -- 04:15 PM (PST)
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Oral
Fri Dec 10 04:00 PM -- 04:15 PM (PST)
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
Q&A
Fri Dec 10 04:15 PM -- 04:20 PM (PST)
Q&A
Q&A
Fri Dec 10 04:15 PM -- 04:20 PM (PST)
Q&A
Oral
Fri Dec 10 04:20 PM -- 04:35 PM (PST)
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
Oral
Fri Dec 10 04:20 PM -- 04:35 PM (PST)
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Oral
Fri Dec 10 04:20 PM -- 04:35 PM (PST)
Learning with Noisy Correspondence for Cross-modal Matching
Oral
Fri Dec 10 04:20 PM -- 04:35 PM (PST)
Retiring Adult: New Datasets for Fair Machine Learning
Oral
Fri Dec 10 04:20 PM -- 04:35 PM (PST)
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Q&A
Fri Dec 10 04:35 PM -- 04:40 PM (PST)
Q&A
Q&A
Fri Dec 10 04:35 PM -- 04:40 PM (PST)
Q&A
Oral
Fri Dec 10 04:40 PM -- 04:55 PM (PST)
Sequential Causal Imitation Learning with Unobserved Confounders
Oral
Fri Dec 10 04:40 PM -- 04:55 PM (PST)
Adaptive Conformal Inference Under Distribution Shift
Oral
Fri Dec 10 04:40 PM -- 04:55 PM (PST)
Learning Treatment Effects in Panels with General Intervention Patterns
Q&A
Fri Dec 10 04:55 PM -- 05:00 PM (PST)
Q&A
Q&A
Fri Dec 10 04:55 PM -- 05:00 PM (PST)
Q&A
Test Of Time
Fri Dec 10 05:00 PM -- 06:00 PM (PST)
Online Learning for Latent Dirichlet Allocation
Workshop
Mon Dec 13 01:00 AM -- 12:30 PM (PST)
Algorithmic Fairness through the lens of Causality and Robustness
Workshop
Mon Dec 13 03:00 AM -- 12:30 PM (PST)
5th Workshop on Meta-Learning
Workshop
Mon Dec 13 03:15 AM -- 02:35 PM (PST)
OPT 2021: Optimization for Machine Learning
Workshop
Mon Dec 13 04:00 AM -- 05:15 PM (PST)
ImageNet: Past, Present, and Future
Workshop
Mon Dec 13 04:00 AM -- 11:10 AM (PST)
The pre-registration workshop: an alternative publication model for machine learning research
Workshop
Mon Dec 13 04:50 AM -- 02:40 PM (PST)
I (Still) Can't Believe It's Not Better: A workshop for “beautiful” ideas that "should" have worked
Workshop
Mon Dec 13 05:00 AM -- 01:55 PM (PST)
AI for Science: Mind the Gaps
Workshop
Mon Dec 13 05:00 AM -- 05:00 PM (PST)
Efficient Natural Language and Speech Processing (Models, Training, and Inference)
Workshop
Mon Dec 13 05:00 AM -- 12:10 PM (PST)
Machine Learning Meets Econometrics (MLECON)
Workshop
Mon Dec 13 05:00 AM -- 01:00 PM (PST)
Optimal Transport and Machine Learning
Workshop
Mon Dec 13 05:30 AM -- 04:00 PM (PST)
New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership
Workshop
Mon Dec 13 05:45 AM -- 02:30 PM (PST)
Metacognition in the Age of AI: Challenges and Opportunities
Workshop
Mon Dec 13 05:50 AM -- 02:05 PM (PST)
Databases and AI (DBAI)
Workshop
Mon Dec 13 05:55 AM -- 02:05 PM (PST)
Meaning in Context: Pragmatic Communication in Humans and Machines
Workshop
Mon Dec 13 06:00 AM -- 03:00 PM (PST)
Differentiable Programming Workshop
Workshop
Mon Dec 13 06:00 AM -- 04:00 PM (PST)
Machine Learning in Structural Biology
Workshop
Mon Dec 13 06:00 AM -- 03:30 PM (PST)
Machine Learning and the Physical Sciences
Workshop
Mon Dec 13 06:45 AM -- 03:00 PM (PST)
Shared Visual Representations in Human and Machine Intelligence
Workshop
Mon Dec 13 07:00 AM -- 05:00 PM (PST)
Human Centered AI
Workshop
Mon Dec 13 07:00 AM -- 03:30 PM (PST)
Causal Inference & Machine Learning: Why now?
Workshop
Mon Dec 13 07:50 AM -- 06:30 PM (PST)
Machine Learning for Autonomous Driving
Workshop
Mon Dec 13 07:55 AM -- 04:00 PM (PST)
Workshop on Deep Learning and Inverse Problems
Workshop
Mon Dec 13 08:00 AM -- 04:00 PM (PST)
Safe and Robust Control of Uncertain Systems
Workshop
Mon Dec 13 08:00 AM -- 12:00 AM (PST)
CtrlGen: Controllable Generative Modeling in Language and Vision
Workshop
Mon Dec 13 08:15 AM -- 06:00 PM (PST)
Machine Learning for Creativity and Design
Workshop
Mon Dec 13 08:50 AM -- 02:50 PM (PST)
Learning in Presence of Strategic Behavior
Workshop
Mon Dec 13 08:55 AM -- 06:00 PM (PST)
ML For Systems
Workshop
Mon Dec 13 08:55 AM -- 06:00 PM (PST)
Deep Reinforcement Learning
Workshop
Mon Dec 13 09:00 AM -- 06:00 PM (PST)
Distribution shifts: connecting methods and applications (DistShift)
Workshop
Mon Dec 13 09:00 AM -- 05:30 PM (PST)
Third Workshop on AI for Humanitarian Assistance and Disaster Response
Workshop
Tue Dec 14 01:20 AM -- 02:40 PM (PST)
Privacy in Machine Learning (PriML) 2021
Workshop
Tue Dec 14 03:00 AM -- 11:00 AM (PST)
Bayesian Deep Learning
Workshop
Tue Dec 14 03:45 AM -- 08:59 PM (PST)
The Symbiosis of Deep Learning and Differential Equations
[
GatherTown]
Workshop
Tue Dec 14 03:45 AM -- 03:00 PM (PST)
Advances in Programming Languages and Neurosymbolic Systems (AIPLANS)
Workshop
Tue Dec 14 04:00 AM -- 01:45 PM (PST)
Political Economy of Reinforcement Learning Systems (PERLS)
Workshop
Tue Dec 14 04:00 AM -- 01:15 PM (PST)
Learning Meaningful Representations of Life (LMRL)
Workshop
Tue Dec 14 04:50 AM -- 02:00 PM (PST)
Medical Imaging meets NeurIPS
Workshop
Tue Dec 14 04:55 AM -- 04:30 PM (PST)
Your Model is Wrong: Robustness and misspecification in probabilistic modeling
Workshop
Tue Dec 14 05:00 AM -- 02:20 PM (PST)
Ecological Theory of Reinforcement Learning: How Does Task Design Influence Agent Learning?
Workshop
Tue Dec 14 05:00 AM -- 02:30 PM (PST)
eXplainable AI approaches for debugging and diagnosis
Workshop
Tue Dec 14 05:20 AM -- 02:15 PM (PST)
Cooperative AI
Workshop
Tue Dec 14 05:30 AM -- 02:30 PM (PST)
Bridging the Gap: from Machine Learning Research to Clinical Practice
Workshop
Tue Dec 14 05:45 AM -- 01:30 PM (PST)
AI for Credible Elections: A Call to Action
Workshop
Tue Dec 14 05:55 AM -- 12:40 PM (PST)
Machine Learning in Public Health
Workshop
Tue Dec 14 06:00 AM -- 12:20 PM (PST)
Out-of-distribution generalization and adaptation in natural and artificial intelligence
Workshop
Tue Dec 14 06:00 AM -- 02:35 PM (PST)
Second Workshop on Quantum Tensor Networks in Machine Learning
Workshop
Tue Dec 14 06:00 AM -- 01:40 PM (PST)
Machine Learning for the Developing World (ML4D): Global Challenges
Workshop
Tue Dec 14 06:00 AM -- 03:00 PM (PST)
Deep Generative Models and Downstream Applications
Workshop
Tue Dec 14 06:05 AM -- 03:20 PM (PST)
Workshop on Human and Machine Decisions
Workshop
Tue Dec 14 06:15 AM -- 05:00 PM (PST)
Tackling Climate Change with Machine Learning
Workshop
Tue Dec 14 07:00 AM -- 03:00 PM (PST)
Deployable Decision Making in Embodied Systems (DDM)
Workshop
Tue Dec 14 07:00 AM -- 02:10 PM (PST)
Machine learning from ground truth: New medical imaging datasets for unsolved medical problems.
Workshop
Tue Dec 14 07:00 AM -- 02:30 PM (PST)
Learning and Decision-Making with Strategic Feedback (StratML)
Workshop
Tue Dec 14 07:00 AM -- 03:35 PM (PST)
2nd Workshop on Self-Supervised Learning: Theory and Practice
Workshop
Tue Dec 14 07:00 AM -- 07:00 PM (PST)
4th Robot Learning Workshop: Self-Supervised and Lifelong Learning
[
GatherTown]
Workshop
Tue Dec 14 08:00 AM -- 04:00 PM (PST)
Physical Reasoning and Inductive Biases for the Real World
Workshop
Tue Dec 14 08:30 AM -- 06:00 PM (PST)
Data Centric AI
Workshop
Tue Dec 14 08:55 AM -- 06:05 PM (PST)
Math AI for Education (MATHAI4ED): Bridging the Gap Between Research and Smart Education
Workshop
Tue Dec 14 09:00 AM -- 06:20 PM (PST)
Offline Reinforcement Learning
Workshop
Tue Dec 14 10:50 AM -- 07:30 PM (PST)
Causal Inference Challenges in Sequential Decision Making: Bridging Theory and Practice