Toggle Poster Visibility
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dense Unsupervised Learning for Video Segmentation
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Multi-Armed Bandits with Adaptive Inference
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Explaining Hyperparameter Optimization via Partial Dependence Plots
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Charting and Navigating the Space of Solutions for Recurrent Neural Networks
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Wider Neural Networks Really Help Adversarial Robustness?
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
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Slides]
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stateful ODE-Nets using Basis Function Expansions
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Noether Networks: meta-learning useful conserved quantities
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Finding Bipartite Components in Hypergraphs
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks
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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
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An analysis of Ermakov-Zolotukhin quadrature using kernels
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Design of Experiments for Stochastic Contextual Linear Bandits
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
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Slides]
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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
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Circuit Synthesis from Specification Patterns
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On Provable Benefits of Depth in Training Graph Convolutional Networks
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Pseudo-Label Optimism for the Bank Loan Problem
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Sample-efficient Overparameterized Meta-learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Offline Model-based Adaptable Policy Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta Learning Backpropagation And Improving It
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
InfoGCL: Information-Aware Graph Contrastive Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Role of Optimization in Double Descent: A Least Squares Study
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On sensitivity of meta-learning to support data
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Diverse Model Selection for Accessible Transfer Learning
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamic population-based meta-learning for multi-agent communication with natural language
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reformulating Zero-shot Action Recognition for Multi-label Actions
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Test-Time Personalization with a Transformer for Human Pose Estimation
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A unified framework for bandit multiple testing
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
ReAct: Out-of-distribution Detection With Rectified Activations
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Component Interactions in Two-Stage Recommender Systems
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Memory Efficient Meta-Learning with Large Images
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cardinality constrained submodular maximization for random streams
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Calibration and Out-of-Domain Generalization
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Answering Complex Causal Queries With the Maximum Causal Set Effect
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Piper: Multidimensional Planner for DNN Parallelization
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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
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can fMRI reveal the representation of syntactic structure in the brain?
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Structural Credit Assignment in Neural Networks using Reinforcement Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sequential Causal Imitation Learning with Unobserved Confounders
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Pure Exploration in Kernel and Neural Bandits
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Safe Pontryagin Differentiable Programming
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning in Reward-Mixing MDPs
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Perceptual Score: What Data Modalities Does Your Model Perceive?
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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
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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
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Marginalised Gaussian Processes with Nested Sampling
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Validation Free and Replication Robust Volume-based Data Valuation
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tighter Expected Generalization Error Bounds via Wasserstein Distance
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Grounding Spatio-Temporal Language with Transformers
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Distributed Zero-Order Optimization under Adversarial Noise
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Class-agnostic Reconstruction of Dynamic Objects from Videos
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Editing a classifier by rewriting its prediction rules
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Episodes, Prototypical Networks, and Few-Shot Learning
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identifiable Generative models for Missing Not at Random Data Imputation
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Behavior From the Void: Unsupervised Active Pre-Training
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Learning and Control of Complex Dynamical Systems from Sensory Input
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spectral embedding for dynamic networks with stability guarantees
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Decentralized Learning in Online Queuing Systems
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Large-Scale Learning with Fourier Features and Tensor Decompositions
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Collaborative Causal Discovery with Atomic Interventions
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sharp Impossibility Results for Hyper-graph Testing
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BayesIMP: Uncertainty Quantification for Causal Data Fusion
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Searching the Search Space of Vision Transformer
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SketchGen: Generating Constrained CAD Sketches
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dueling Bandits with Team Comparisons
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Private learning implies quantum stability
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural optimal feedback control with local learning rules
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Implicit Semantic Response Alignment for Partial Domain Adaptation
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Overinterpretation reveals image classification model pathologies
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Volume Rendering of Neural Implicit Surfaces
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness with Semi-Infinite Constrained Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mirror Langevin Monte Carlo: the Case Under Isoperimetry
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Residual Relaxation for Multi-view Representation Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning One Representation to Optimize All Rewards
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Autonomous Reinforcement Learning via Subgoal Curricula
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
$\texttt{LeadCache}$: Regret-Optimal Caching in Networks
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MICo: Improved representations via sampling-based state similarity for Markov decision processes
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Residual2Vec: Debiasing graph embedding with random graphs
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Memorization in Probabilistic Deep Generative Models
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Intervention Target Estimation in Linear Models
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Instance-dependent Label-noise Learning under a Structural Causal Model
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Interpretable Model with Transformation Equivariant Interpretation
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Partial success in closing the gap between human and machine vision
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Thompson Sampling using Sparse Gaussian Process Models
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spatio-Temporal Variational Gaussian Processes
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Environment Generation for Zero-Shot Compositional Reinforcement Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially robust learning for security-constrained optimal power flow
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Probabilistic Tensor Decomposition of Neural Population Spiking Activity
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistically and Computationally Efficient Linear Meta-representation Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamical Wasserstein Barycenters for Time-series Modeling
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Order Simple Regret for Gaussian Process Bandits
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Explanations in Sequential Decision Making Under Uncertainty
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Random Noise Defense Against Query-Based Black-Box Attacks
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Auto-Curricula in Two-Player Zero-Sum Games
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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
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting the Calibration of Modern Neural Networks
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A sampling-based circuit for optimal decision making
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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) @ Virtual
Bayesian Optimization with High-Dimensional Outputs
[
Slides]
[
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)
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)
A variational approximate posterior for the deep Wishart process
[
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)
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)
Domain Invariant Representation Learning with Domain Density Transformations
[
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)
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
[
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)
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)
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
[
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) @ Virtual
The Many Faces of Adversarial Risk
[
Slides]
[
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)
Impression learning: Online representation learning with synaptic plasticity
[
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)
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)
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)
Backward-Compatible Prediction Updates: A Probabilistic Approach
[
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)
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)
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
[
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)
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
[
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)
Statistical Inference with M-Estimators on Adaptively Collected Data
[
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)
Matrix factorisation and the interpretation of geodesic distance
[
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)
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
[
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)
Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation
[
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)
Optimal Algorithms for Stochastic Contextual Preference Bandits
[
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)
DiBS: Differentiable Bayesian Structure Learning
[
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)
Fast and accurate randomized algorithms for low-rank tensor decompositions
[
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)
A universal probabilistic spike count model reveals ongoing modulation of neural variability
[
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)
Bootstrap Your Object Detector via Mixed Training
[
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)
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)
Consistent Non-Parametric Methods for Maximizing Robustness
[
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)
Off-Policy Risk Assessment in Contextual Bandits
[
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) @ Virtual
The Inductive Bias of Quantum Kernels
[
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)
Encoding Robustness to Image Style via Adversarial Feature Perturbations
[
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)
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) @ Virtual
Cardinality-Regularized Hawkes-Granger Model
[
Slides]
[
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)
Teachable Reinforcement Learning via Advice Distillation
[
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)
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)
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
[
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)
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)
Supervising the Transfer of Reasoning Patterns in VQA
[
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)
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
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
[
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)
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)
Accurate Point Cloud Registration with Robust Optimal Transport
[
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)
Kernel Identification Through Transformers
[
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)
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
[
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) @ Virtual
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
[
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)
3DP3: 3D Scene Perception via Probabilistic Programming
[
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)
Fast Certified Robust Training with Short Warmup
[
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)
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
[
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) @ Virtual
Automated Discovery of Adaptive Attacks on Adversarial Defenses
[
Slides]
[
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)
Object DGCNN: 3D Object Detection using Dynamic Graphs
[
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) @ Virtual
Conditioning Sparse Variational Gaussian Processes for Online Decision-making
[
Slides]
[
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)
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
[
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)
Weisfeiler and Lehman Go Cellular: CW Networks
[
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)
Dangers of Bayesian Model Averaging under Covariate Shift
[
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)
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)
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) @ Virtual
End-to-end Multi-modal Video Temporal Grounding
[
Slides]
[
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)
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)
Attention Approximates Sparse Distributed Memory
[
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)
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
[
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)
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
[
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)
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
[
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) @ Virtual
Compressive Visual Representations
[
Slides]
[
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)
CrypTen: Secure Multi-Party Computation Meets Machine Learning
[
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)
Towards mental time travel: a hierarchical memory for reinforcement learning agents
[
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)
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
[
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) @ 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)
Fast rates for prediction with limited expert advice
[
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)
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)
Efficient methods for Gaussian Markov random fields under sparse linear constraints
[
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)
Analysis of one-hidden-layer neural networks via the resolvent method
[
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)
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)
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)
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) @ 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)
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
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)
Meta-Learning Reliable Priors in the Function Space
[
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)
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)
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
[
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)
Learning with Algorithmic Supervision via Continuous Relaxations
[
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)
Optimizing Reusable Knowledge for Continual Learning via Metalearning
[
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)
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
[
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) @ Virtual
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes
[
Slides]
[
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)
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)
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)
Provably Strict Generalisation Benefit for Invariance in Kernel Methods
[
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)
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
[
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)
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization
[
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)
R-Drop: Regularized Dropout for Neural Networks
[
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
Large-Scale Wasserstein Gradient Flows
[
Slides]
[
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) @ 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)
Robustness between the worst and average case
[
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)
Biological learning in key-value memory networks
[
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) @ Virtual
Confident Anchor-Induced Multi-Source Free Domain Adaptation
[
Slides]
[
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)
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)
Indexed Minimum Empirical Divergence for Unimodal Bandits
[
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) @ Virtual
Escape saddle points by a simple gradient-descent based algorithm
[
Slides]
[
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)
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
[
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)
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)
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)
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
[
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)
Deformable Butterfly: A Highly Structured and Sparse Linear Transform
[
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) @ Virtual
Deep Reinforcement Learning at the Edge of the Statistical Precipice
[
Slides]
[
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)
Learning Debiased Representation via Disentangled Feature Augmentation
[
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)
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)
Learning the optimal Tikhonov regularizer for inverse problems
[
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
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)
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)
Arbitrary Conditional Distributions with Energy
[
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) @ Virtual
Human-Adversarial Visual Question Answering
[
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)
Exploiting a Zoo of Checkpoints for Unseen Tasks
[
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)
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)
A Continuous Mapping For Augmentation Design
[
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)
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) @ 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)
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)
Measuring Generalization with Optimal Transport
[
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)
Shape Registration in the Time of Transformers
[
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)
On the Universality of Graph Neural Networks on Large Random Graphs
[
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) @ 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)
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
[
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)
Counterfactual Explanations Can Be Manipulated
[
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)
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
[
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)
Adversarially Robust Change Point Detection
[
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)
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
[
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)
Dueling Bandits with Adversarial Sleeping
[
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)
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
[
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)
Aligning Pretraining for Detection via Object-Level Contrastive Learning
[
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)
On Margin-Based Cluster Recovery with Oracle Queries
[
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)
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
[
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)
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)
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)
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)
Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems
[
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) @ Virtual
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
[
Slides]
[
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)
Hyperbolic Procrustes Analysis Using Riemannian Geometry
[
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)
Cortico-cerebellar networks as decoupling neural interfaces
[
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) @ Virtual
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits
[
Slides]
[
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)
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)
MarioNette: Self-Supervised Sprite Learning
[
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) @ Virtual
Introspective Distillation for Robust Question Answering
[
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)
Achieving Rotational Invariance with Bessel-Convolutional Neural Networks
[
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)
Fair Exploration via Axiomatic Bargaining
[
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)
Fitting summary statistics of neural data with a differentiable spiking network simulator
[
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)
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
[
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)
Implicit SVD for Graph Representation Learning
[
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) @ Virtual
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
[
Slides]
[
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)
List-Decodable Mean Estimation in Nearly-PCA Time
[
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)
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
[
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)
Few-Shot Data-Driven Algorithms for Low Rank Approximation
[
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)
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
[
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
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
[
Slides]
[
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)
Scheduling jobs with stochastic holding costs
[
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) @ Virtual
Excess Capacity and Backdoor Poisoning
[
Slides]
[
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)
Learning State Representations from Random Deep Action-conditional Predictions
[
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)
Escaping Saddle Points with Compressed SGD
[
OpenReview]
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)
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach
[
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)
How Data Augmentation affects Optimization for Linear Regression
[
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) @ 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)
Bandit Learning with Delayed Impact of Actions
[
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) @ Virtual
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding
[
Slides]
[
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)
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
[
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)
XDO: A Double Oracle Algorithm for Extensive-Form Games
[
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) @ Virtual
Predicting Event Memorability from Contextual Visual Semantics
[
Slides]
[
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)
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm
[
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)
CLIP-It! Language-Guided Video Summarization
[
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)
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
[
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)
ELLA: Exploration through Learned Language Abstraction
[
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)
Deep Residual Learning in Spiking Neural Networks
[
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)
Robust Auction Design in the Auto-bidding World
[
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)
NovelD: A Simple yet Effective Exploration Criterion
[
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) @ Virtual
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
[
Slides]
[
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)
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
[
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
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) @ 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)
EIGNN: Efficient Infinite-Depth Graph Neural Networks
[
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)
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
[
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)
Augmented Shortcuts for Vision Transformers
[
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)
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
[
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)
Nearly Horizon-Free Offline Reinforcement Learning
[
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)
Exploring Forensic Dental Identification with Deep Learning
[
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)
Lossy Compression for Lossless Prediction
[
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)
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
[
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)
Novel Upper Bounds for the Constrained Most Probable Explanation Task
[
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)
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)
A mechanistic multi-area recurrent network model of decision-making
[
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)
Taxonomizing local versus global structure in neural network loss landscapes
[
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)
SSMF: Shifting Seasonal Matrix Factorization
[
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)
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)
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
[
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)
Dynamic Normalization and Relay for Video Action Recognition
[
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)
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
[
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)
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs
[
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)
Efficient Truncated Linear Regression with Unknown Noise Variance
[
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)
On the Value of Infinite Gradients in Variational Autoencoder Models
[
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)
Particle Cloud Generation with Message Passing Generative Adversarial Networks
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Subgroup Generalization and Fairness of Graph Neural Networks
[
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)
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)
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)
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)
Revisiting 3D Object Detection From an Egocentric 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)
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
[
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)
MOMA: Multi-Object Multi-Actor Activity Parsing
[
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)
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
[
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) @ Virtual
Choose a Transformer: Fourier or Galerkin
[
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)
Representation Learning on Spatial Networks
[
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) @ Virtual
Self-Supervised Multi-Object Tracking with Cross-input Consistency
[
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 the Variance of the Fisher Information for Deep Learning
[
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)
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
[
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)
Towards a Theoretical Framework of Out-of-Distribution Generalization
[
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) @ Virtual
Exponential Graph is Provably Efficient for Decentralized Deep Training
[
Slides]
[
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) @ Virtual
UniDoc: Unified Pretraining Framework for Document Understanding
[
Slides]
[
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)
On the Cryptographic Hardness of Learning Single Periodic Neurons
[
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)
Robust Regression Revisited: Acceleration and Improved Estimation Rates
[
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)
Meta-learning with an Adaptive Task Scheduler
[
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) @ Virtual
Improved Transformer for High-Resolution GANs
[
Slides]
[
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)
A Faster Decentralized Algorithm for Nonconvex Minimax Problems
[
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)
Automorphic Equivalence-aware Graph Neural Network
[
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) @ Virtual
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
[
Slides]
[
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)
Rethinking Neural Operations for Diverse Tasks
[
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)
Machine versus Human Attention in Deep Reinforcement Learning Tasks
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) @ Virtual
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
[
Slides]
[
OpenReview]
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)
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
[
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)
Information is Power: Intrinsic Control via Information Capture
[
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)
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)
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)
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) @ Virtual
Understanding the Effect of Stochasticity in Policy Optimization
[
Slides]
[
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)
Overparameterization Improves Robustness to Covariate Shift in High Dimensions
[
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)
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
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)
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model
[
OpenReview]
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)
Modified Frank Wolfe in Probability Space
[
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)
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
[
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)
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
[
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) @ 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)
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
[
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)
Towards Biologically Plausible Convolutional Networks
[
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)
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
[
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)
Gradual Domain Adaptation without Indexed Intermediate Domains
[
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) @ Virtual
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
[
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)
Rethinking Graph Transformers with Spectral Attention
[
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)
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
[
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)
Learning Space Partitions for Path Planning
[
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)
Provably efficient multi-task reinforcement learning with model transfer
[
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)
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)
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
[
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)
Unifying lower bounds on prediction dimension of convex surrogates
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
[
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)
Control Variates for Slate Off-Policy Evaluation
[
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) @ 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)
Information-theoretic generalization bounds for black-box learning algorithms
[
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)
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
[
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)
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)
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)
Neural Dubber: Dubbing for Videos According to Scripts
[
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)
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
[
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)
Predicting Molecular Conformation via Dynamic Graph Score Matching
[
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)
Debiased Visual Question Answering from Feature and Sample Perspectives
[
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)
Online Variational Filtering and Parameter Learning
[
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)
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)
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search
[
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)
Contextual Similarity Aggregation with Self-attention for Visual Re-ranking
[
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)
Offline Reinforcement Learning with Reverse Model-based Imagination
[
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)
Improving Deep Learning Interpretability by Saliency Guided Training
[
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)
Searching Parameterized AP Loss for Object Detection
[
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)
Self-Supervised GANs with Label Augmentation
[
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)
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
[
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)
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators
[
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)
Probabilistic Margins for Instance Reweighting in Adversarial Training
[
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)
Posterior Meta-Replay for Continual Learning
[
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) @ 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)
Learning Riemannian metric for disease progression modeling
[
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) @ Virtual
Exploiting Domain-Specific Features to Enhance Domain Generalization
[
Slides]
[
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)
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain
[
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)
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning
[
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)
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) @ 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)
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
[
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) @ Virtual
Distilling Object Detectors with Feature Richness
[
Slides]
[
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 Robust Optimal Transport: Computational Complexity and Barycenter Computation
[
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) @ 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)
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)
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)
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)
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
[
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)
No-regret Online Learning over Riemannian Manifolds
[
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
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
[
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)
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic
[
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)
MLP-Mixer: An all-MLP Architecture for Vision
[
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) @ Virtual
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
[
Slides]
[
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)
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
[
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) @ 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) @ Virtual
Few-Shot Object Detection via Association and DIscrimination
[
Slides]
[
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) @ Virtual
Pruning Randomly Initialized Neural Networks with Iterative Randomization
[
Slides]
[
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)
Meta-Learning Sparse Implicit Neural Representations
[
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)
Neural Architecture Dilation for Adversarial Robustness
[
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
VAST: Value Function Factorization with Variable Agent Sub-Teams
[
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)
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
[
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)
Natural continual learning: success is a journey, not (just) a destination
[
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)
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning
[
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) @ Virtual
Fast Abductive Learning by Similarity-based Consistency Optimization
[
Slides]
[
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)
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)
Graph Adversarial Self-Supervised Learning
[
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) @ 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)
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
[
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)
Smooth Bilevel Programming for Sparse Regularization
[
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)
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
[
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
Learning Causal Semantic Representation for Out-of-Distribution Prediction
[
Slides]
[
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)
Adversarial Teacher-Student Representation Learning for Domain Generalization
[
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)
Variational Inference for Continuous-Time Switching Dynamical Systems
[
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)
PolarStream: Streaming Object Detection and Segmentation with Polar Pillars
[
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)
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)
Garment4D: Garment Reconstruction from Point Cloud Sequences
[
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)
Instance-Dependent Partial Label Learning
[
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) @ Virtual
Learning Collaborative Policies to Solve NP-hard Routing Problems
[
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)
CentripetalText: An Efficient Text Instance Representation for Scene Text Detection
[
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)
Mining the Benefits of Two-stage and One-stage HOI Detection
[
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)
What Matters for Adversarial Imitation Learning?
[
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) @ Virtual
Uncertainty Quantification and Deep Ensembles
[
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)
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)
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
[
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)
Learning Debiased and Disentangled Representations for Semantic Segmentation
[
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)
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) @ 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) @ Virtual
Convex-Concave Min-Max Stackelberg Games
[
Slides]
[
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)
Handling Long-tailed Feature Distribution in AdderNets
[
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) @ 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)
Generative vs. Discriminative: Rethinking The Meta-Continual Learning
[
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)
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
[
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)
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement
[
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)
On Optimal Interpolation in Linear Regression
[
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)
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
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
[
Slides]
[
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)
Relative Uncertainty Learning for Facial Expression Recognition
[
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) @ Virtual
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
[
Slides]
[
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
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
[
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)
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning
[
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)
Data-Efficient Instance Generation from Instance Discrimination
[
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)
Recognizing Vector Graphics without Rasterization
[
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)
Improving black-box optimization in VAE latent space using decoder uncertainty
[
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)
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)
Efficient Training of Visual Transformers with Small Datasets
[
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)
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) @ 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) @ Virtual
IQ-Learn: Inverse soft-Q Learning for Imitation
[
Slides]
[
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)
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
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)
Navigating to the Best Policy in Markov Decision Processes
[
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)
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
[
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)
AFEC: Active Forgetting of Negative Transfer in Continual Learning
[
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)
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
[
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)
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration
[
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) @ Virtual
Modality-Agnostic Topology Aware Localization
[
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)
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization
[
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)
Implicit Sparse Regularization: The Impact of Depth and Early Stopping
[
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)
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
[
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)
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)
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech 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) @ Virtual
Differentiable Learning Under Triage
[
Slides]
[
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) @ Virtual
Learnability of Linear Thresholds from Label Proportions
[
Slides]
[
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)
Regularized Softmax Deep Multi-Agent Q-Learning
[
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)
Robust Pose Estimation in Crowded Scenes with Direct Pose-Level Inference
[
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)
Multimodal and Multilingual Embeddings for Large-Scale Speech Mining
[
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)
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)
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
[
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)
Batch Normalization Orthogonalizes Representations in Deep Random Networks
[
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) @ 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) @ Virtual
Neural Relightable Participating Media Rendering
[
Slides]
[
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)
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
[
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) @ 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)
Efficient and Accurate Gradients for Neural SDEs
[
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)
Variational Bayesian Reinforcement Learning with Regret Bounds
[
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) @ Virtual
Scalable Rule-Based Representation Learning for Interpretable Classification
[
Slides]
[
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)
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence
[
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)
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
[
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)
Online Learning Of Neural Computations From Sparse Temporal Feedback
[
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)
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
All Tokens Matter: Token Labeling for Training Better Vision Transformers
[
Slides]
[
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)
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
[
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)
Unfolding Taylor's Approximations for Image Restoration
[
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)
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
[
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)
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks
[
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
The Image Local Autoregressive Transformer
[
Slides]
[
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)
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
[
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)
Mitigating Forgetting in Online Continual Learning with Neuron Calibration
[
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)
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)
Sub-Linear Memory: How to Make Performers SLiM
[
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)
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)
Learning Student-Friendly Teacher Networks for Knowledge Distillation
[
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)
Forster Decomposition and Learning Halfspaces with Noise
[
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)
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
[
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)
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation
[
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)
Exact marginal prior distributions of finite Bayesian neural networks
[
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)
Selective Sampling for Online Best-arm Identification
[
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)
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
[
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)
Progressive Coordinate Transforms for Monocular 3D Object Detection
[
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) @ 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)
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
[
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)
When Is Generalizable Reinforcement Learning Tractable?
[
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)
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
[
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)
A generative nonparametric Bayesian model for whole genomes
[
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)
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)
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
[
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)
Does Preprocessing Help Training Over-parameterized Neural Networks?
[
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)
Provably Faster Algorithms for Bilevel Optimization
[
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)
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)
Provably efficient, succinct, and precise explanations
[
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)
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
[
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)
Maximum Likelihood Training of Score-Based Diffusion Models
[
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)
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)
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
[
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)
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)
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)
Estimating High Order Gradients of the Data Distribution by Denoising
[
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)
What Makes Multi-Modal Learning Better than Single (Provably)
[
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)
Offline Reinforcement Learning as One Big Sequence Modeling Problem
[
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)
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
[
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)
Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons
[
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)
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries
[
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)
Learning Distilled Collaboration Graph for Multi-Agent Perception
[
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)
Hyperparameter Tuning is All You Need for LISTA
[
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) @ Virtual
Evaluating Efficient Performance Estimators of Neural Architectures
[
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
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems
[
Slides]
[
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)
Collapsed Variational Bounds for Bayesian Neural Networks
[
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)
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) @ Virtual
How Modular should Neural Module Networks Be for Systematic Generalization?
[
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)
Towards a Unified Information-Theoretic Framework for Generalization
[
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)
Uncertain Decisions Facilitate Better Preference 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)
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
[
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)
Manipulating SGD with Data Ordering Attacks
[
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
Permuton-induced Chinese Restaurant Process
[
Slides]
[
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)
Coupled Gradient Estimators for Discrete Latent Variables
[
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)
Gone Fishing: Neural Active Learning with Fisher Embeddings
[
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 Convergence Analysis of Gradient Descent on Graph Neural Networks
[
Slides]
[
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)
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks
[
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)
Nested Counterfactual Identification from Arbitrary Surrogate Experiments
[
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)
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
[
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)
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
[
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)
Teaching an Active Learner with Contrastive Examples
[
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
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates
[
Slides]
[
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) @ 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)
Representing Long-Range Context for Graph Neural Networks with Global Attention
[
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)
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)
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
[
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)
Revenue maximization via machine learning with noisy data
[
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)
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)
Continual Learning via Local Module Composition
[
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)
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)
Efficient constrained sampling via the mirror-Langevin algorithm
[
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)
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
[
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) @ 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)
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
[
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)
Emergent Communication under Varying Sizes and Connectivities
[
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)
Diffusion Models Beat GANs on Image Synthesis
[
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)
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
[
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)
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)
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs
[
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)
Soft Calibration Objectives for Neural Networks
[
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)
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
[
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)
Class-Incremental Learning via Dual Augmentation
[
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)
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
[
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)
Efficient Active Learning for Gaussian Process Classification by Error Reduction
[
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)
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
[
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)
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
[
OpenReview]
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
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee
[
Slides]
[
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
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning
[
Slides]
[
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) @ 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)
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales
[
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)
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
[
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)
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)
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
[
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)
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
[
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)
Referring Transformer: A One-step Approach to Multi-task Visual Grounding
[
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)
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
[
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)
A Stochastic Newton Algorithm for Distributed Convex Optimization
[
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)
Sequence-to-Sequence Learning with Latent Neural Grammars
[
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) @ Virtual
Topological Detection of Trojaned Neural Networks
[
Slides]
[
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) @ 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) @ Virtual
Robust Optimization for Multilingual Translation with Imbalanced Data
[
Slides]
[
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)
Demystifying and Generalizing BinaryConnect
[
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) @ 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)
HRFormer: High-Resolution Vision Transformer for Dense Predict
[
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) @ Virtual
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
[
Slides]
[
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)
A nonparametric method for gradual change problems with statistical guarantees
[
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) @ Virtual
Lifelong Domain Adaptation via Consolidated Internal Distribution
[
Slides]
[
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) @ Virtual
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
[
Slides]
[
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)
Fine-Grained Zero-Shot Learning with DNA as Side Information
[
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)
A Max-Min Entropy Framework for Reinforcement Learning
[
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)
Bootstrapping the Error of Oja's Algorithm
[
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)
MobILE: Model-Based Imitation Learning From Observation Alone
[
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)
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)
A Geometric Analysis of Neural Collapse with Unconstrained Features
[
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) @ Virtual
Variance-Aware Off-Policy Evaluation with Linear Function Approximation
[
Slides]
[
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)
Emergent Discrete Communication in Semantic Spaces
[
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
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) @ 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]
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)
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
[
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
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
[
Slides]
[
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)
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
[
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)
A Note on Sparse Generalized Eigenvalue Problem
[
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)
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)
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
[
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) @ Virtual
Uncertainty-Driven Loss for Single Image Super-Resolution
[
Slides]
[
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)
Disentangled Contrastive Learning on Graphs
[
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)
ROI Maximization in Stochastic Online Decision-Making
[
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)
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)
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
[
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)
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
[
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)
Variational Continual Bayesian Meta-Learning
[
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)
Doubly Robust Thompson Sampling with Linear Payoffs
[
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) @ Virtual
Universal Off-Policy Evaluation
[
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)
Robustifying Algorithms of Learning Latent Trees with Vector Variables
[
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)
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
[
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)
Few-Round Learning for Federated Learning
[
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)
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
[
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)
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
[
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) @ Virtual
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
[
Slides]
[
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
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)
Generalizable Multi-linear Attention Network
[
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)
Refined Learning Bounds for Kernel and Approximate $k$-Means
[
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)
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
[
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)
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable
[
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)
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
[
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)
Modular Gaussian Processes for Transfer Learning
[
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)
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval
[
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)
Non-asymptotic Error Bounds for Bidirectional GANs
[
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) @ 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 Importance of Gradients for Detecting Distributional Shifts in the Wild
[
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)
An online passive-aggressive algorithm for difference-of-squares classification
[
OpenReview]
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) @ Virtual
TAAC: Temporally Abstract Actor-Critic for Continuous Control
[
Slides]
[
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)
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
[
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)
Distributed Principal Component Analysis with Limited Communication
[
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)
Individual Privacy Accounting via a Rényi Filter
[
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)
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
[
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)
Adapting to function difficulty and growth conditions in private optimization
[
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)
Margin-Independent Online Multiclass Learning via Convex Geometry
[
OpenReview]
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)
Online Control of Unknown Time-Varying Dynamical Systems
[
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)
On the Theory of Reinforcement Learning with Once-per-Episode Feedback
[
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)
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
[
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)
Online Market Equilibrium with Application to Fair Division
[
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)
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)
Mixture weights optimisation for Alpha-Divergence Variational Inference
[
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)
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods
[
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)
Photonic Differential Privacy with Direct Feedback Alignment
[
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)
Federated Graph Classification over Non-IID Graphs
[
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)
Towards Best-of-All-Worlds Online Learning with Feedback Graphs
[
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)
Similarity and Matching of Neural Network Representations
[
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)
Dense Keypoints via Multiview Supervision
[
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)
The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains
[
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)
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
[
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)
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)
Fair Scheduling for Time-dependent Resources
[
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)
Littlestone Classes are Privately Online Learnable
[
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)
Improved Regret Bounds for Tracking Experts with Memory
[
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)
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
[
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)
Contrastive Reinforcement Learning of Symbolic Reasoning Domains
[
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)
Unsupervised Learning of Compositional Energy Concepts
[
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)
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
[
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)
Score-based Generative Modeling in Latent Space
[
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)
Sampling with Trusthworthy Constraints: A Variational Gradient Framework
[
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)
On the Sample Complexity of Privately Learning Axis-Aligned Rectangles
[
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)
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
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
[
Slides]
[
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)
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components
[
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)
Last-iterate Convergence in Extensive-Form Games
[
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)
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
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
Good Classification Measures and How to Find Them
[
Slides]
[
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)
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies
[
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)
Representation Learning for Event-based Visuomotor Policies
[
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)
Perturb-and-max-product: Sampling and learning in discrete energy-based models
[
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)
Never Go Full Batch (in Stochastic Convex Optimization)
[
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)
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)
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
[
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)
Neural Tangent Kernel Maximum Mean Discrepancy
[
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)
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
[
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)
Representation Costs of Linear Neural Networks: Analysis and Design
[
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)
Neural Distance Embeddings for Biological Sequences
[
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) @ Virtual
Risk-Aware Transfer in Reinforcement Learning using Successor Features
[
Slides]
[
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)
Online Adaptation to Label Distribution Shift
[
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)
Who Leads and Who Follows in Strategic Classification?
[
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)
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization
[
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)
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
[
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)
Gradient Starvation: A Learning Proclivity in Neural Networks
[
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)
Unsupervised Motion Representation Learning with Capsule Autoencoders
[
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)
Searching for Efficient Transformers for Language Modeling
[
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)
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)
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
[
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)
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
[
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)
Towards robust vision by multi-task learning on monkey visual cortex
[
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)
On Large-Cohort Training for Federated Learning
[
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
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 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)
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)
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage
[
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)
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)
Hyperbolic Busemann Learning with Ideal Prototypes
[
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)
Scalars are universal: Equivariant machine learning, structured like classical physics
[
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)
Probabilistic Forecasting: A Level-Set Approach
[
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)
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)
Shared Independent Component Analysis for Multi-Subject Neuroimaging
[
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) @ Virtual
Least Square Calibration for Peer Reviews
[
Slides]
[
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)
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
[
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)
Asymptotics of representation learning in finite Bayesian neural networks
[
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) @ Virtual
Learning to Synthesize Programs as Interpretable and Generalizable Policies
[
Slides]
[
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)
User-Level Differentially Private Learning via Correlated Sampling
[
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)
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)
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) @ Virtual
A Central Limit Theorem for Differentially Private Query Answering
[
Slides]
[
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)
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)
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)
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) @ Virtual
Breaking the centralized barrier for cross-device federated learning
[
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)
Adversarial Neuron Pruning Purifies Backdoored Deep Models
[
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)
Optimal Rates for Random Order Online Optimization
[
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) @ Virtual
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
[
Slides]
[
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)
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
[
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)
Adversarial Regression with Doubly Non-negative Weighting Matrices
[
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)
Decision Transformer: Reinforcement Learning via Sequence Modeling
[
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)
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
[
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) @ Virtual
Fast Pure Exploration via Frank-Wolfe
[
Slides]
[
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) @ Virtual
Robust and Decomposable Average Precision for Image Retrieval
[
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)
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)
Hierarchical Reinforcement Learning with Timed Subgoals
[
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) @ Virtual
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
[
Slides]
[
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)
Streaming Linear System Identification with Reverse Experience Replay
[
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)
Framing RNN as a kernel method: A neural ODE approach
[
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)
Reinforcement learning for optimization of variational quantum circuit architectures
[
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)
MERLOT: Multimodal Neural Script Knowledge Models
[
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) @ Virtual
Retiring Adult: New Datasets for Fair Machine Learning
[
Slides]
[
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)
Towards optimally abstaining from prediction with OOD test examples
[
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)
Estimating the Long-Term Effects of Novel Treatments
[
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)
Local Differential Privacy for Regret Minimization in Reinforcement Learning
[
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)
Minimizing Polarization and Disagreement in Social Networks via Link Recommendation
[
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)
Learning to Generate Visual Questions with Noisy Supervision
[
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)
Analytic Insights into Structure and Rank of Neural Network Hessian Maps
[
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)
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation
[
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)
Federated-EM with heterogeneity mitigation and variance reduction
[
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)
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
[
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)
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
[
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)
Fair Algorithms for Multi-Agent Multi-Armed Bandits
[
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)
Label Disentanglement in Partition-based Extreme Multilabel Classification
[
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)
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
[
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) @ Virtual
Lattice partition recovery with dyadic CART
[
Slides]
[
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)
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
[
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)
RL for Latent MDPs: Regret Guarantees and a Lower Bound
[
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)
Deep Explicit Duration Switching Models for Time Series
[
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)
Learning to Schedule Heuristics in Branch and Bound
[
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)
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
[
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)
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
[
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)
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) @ 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)
Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning
[
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)
Robust Allocations with Diversity Constraints
[
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)
Mixability made efficient: Fast online multiclass logistic regression
[
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 Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes
[
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)
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
[
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)
CogView: Mastering Text-to-Image Generation via Transformers
[
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)
Differentially Private Sampling from Distributions
[
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)
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
[
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)
Private and Non-private Uniformity Testing for Ranking Data
[
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)
Surrogate Regret Bounds for Polyhedral Losses
[
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)
Safe Reinforcement Learning with Natural Language Constraints
[
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)
Learning Semantic Representations to Verify Hardware Designs
[
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)
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)
Two-sided fairness in rankings via Lorenz dominance
[
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)
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)
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
[
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)
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
[
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)
Reliable Decisions with Threshold Calibration
[
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)
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
[
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
Neural Trees for Learning on Graphs
[
Slides]
[
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)
Beyond Bandit Feedback in Online Multiclass Classification
[
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)
Ensembling Graph Predictions for AMR Parsing
[
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)
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
[
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)
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
[
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)
Adaptive Sampling for Minimax Fair Classification
[
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) @ 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)
Training Over-parameterized Models with Non-decomposable Objectives
[
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)
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)
Scalable Online Planning via Reinforcement Learning Fine-Tuning
[
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)
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations
[
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)
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures
[
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)
Average-Reward Learning and Planning with Options
[
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)
Statistical Query Lower Bounds for List-Decodable Linear Regression
[
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)
Online false discovery rate control for anomaly detection in time series
[
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 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
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding
[
Slides]
[
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) @ Virtual
Decoupling the Depth and Scope of Graph Neural Networks
[
Slides]
[
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) @ Virtual
Stronger NAS with Weaker Predictors
[
Slides]
[
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)
Learning Signal-Agnostic Manifolds of Neural Fields
[
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)
Fast Training Method for Stochastic Compositional Optimization Problems
[
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)
Topographic VAEs learn Equivariant Capsules
[
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)
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)
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
[
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)
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)
Online Robust Reinforcement Learning with Model Uncertainty
[
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)
What training reveals about neural network complexity
[
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)
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
[
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)
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
[
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) @ Virtual
Auditing Black-Box Prediction Models for Data Minimization Compliance
[
Slides]
[
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)
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
[
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)
Approximate optimization of convex functions with outlier noise
[
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)
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
[
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)
Data Sharing and Compression for Cooperative Networked Control
[
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)
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks
[
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)
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)
Towards understanding retrosynthesis by energy-based models
[
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)
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
[
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)
Techniques for Symbol Grounding with SATNet
[
OpenReview]
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)
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
[
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)
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
[
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)
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
[
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)
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
[
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)
Systematic Generalization with Edge Transformers
[
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)
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)
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
[
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)
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
[
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)
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)
Observation-Free Attacks on Stochastic Bandits
[
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)
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
[
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)
Multiwavelet-based Operator Learning for Differential Equations
[
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)
The Benefits of Implicit Regularization from SGD in Least Squares Problems
[
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) @ Virtual
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
[
Slides]
[
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)
UCB-based Algorithms for Multinomial Logistic Regression Bandits
[
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)
Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease
[
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)
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
[
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)
Learning to delegate for large-scale vehicle routing
[
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)
Efficiently Identifying Task Groupings for Multi-Task Learning
[
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)
A Biased Graph Neural Network Sampler with Near-Optimal Regret
[
OpenReview]
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) @ Virtual
Differentially Private Federated Bayesian Optimization with Distributed Exploration
[
Slides]
[
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)
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
[
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) @ Virtual
Safe Policy Optimization with Local Generalized Linear Function Approximations
[
Slides]
[
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)
Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems
[
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)
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
[
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)
Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints
[
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)
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery
[
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)
A Regression Approach to Learning-Augmented Online Algorithms
[
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) @ Virtual
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
[
Slides]
[
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)
Sample Selection for Fair and Robust Training
[
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)
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)
Permutation-Invariant Variational Autoencoder for Graph-Level Representation 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)
A Minimalist Approach to Offline Reinforcement Learning
[
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)
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
[
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) @ Virtual
On the Equivalence between Neural Network and Support Vector Machine
[
Slides]
[
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)
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)
SOFT: Softmax-free Transformer with Linear Complexity
[
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)
ProTo: Program-Guided Transformer for Program-Guided Tasks
[
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)
Learning 3D Dense Correspondence via Canonical Point Autoencoder
[
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)
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages
[
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)
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
[
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)
HyperSPNs: Compact and Expressive Probabilistic Circuits
[
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)
How can classical multidimensional scaling go wrong?
[
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)
Conservative Offline Distributional Reinforcement Learning
[
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)
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)
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)
Regulating algorithmic filtering on social media
[
OpenReview]
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)
Combiner: Full Attention Transformer with Sparse Computation Cost
[
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)
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
[
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)
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
[
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)
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
[
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)
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization
[
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)
Efficient Statistical Assessment of Neural Network Corruption Robustness
[
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)
Differentially Private Learning with Adaptive Clipping
[
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)
Grounding Representation Similarity Through Statistical Testing
[
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) @ Virtual
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
[
Slides]
[
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)
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks
[
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)
Discovering and Achieving Goals via World Models
[
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)
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)
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
[
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)
Online Selective Classification with Limited Feedback
[
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) @ 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)
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
[
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)
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
[
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) @ Virtual
Optimal Underdamped Langevin MCMC Method
[
Slides]
[
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)
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
[
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)
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
[
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)
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)
Self-Adaptable Point Processes with Nonparametric Time Decays
[
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) @ 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)
Time-series Generation by Contrastive Imitation
[
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)
Unintended Selection: Persistent Qualification Rate Disparities and Interventions
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)
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
[
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)
Embedding Principle of Loss Landscape of Deep 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)
Adaptive Diffusion in Graph Neural Networks
[
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)
Perturbation Theory for the Information Bottleneck
[
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)
A Contrastive Learning Approach for Training Variational Autoencoder Priors
[
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)
Understanding Instance-based Interpretability of Variational Auto-Encoders
[
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)
True Few-Shot Learning with Language Models
[
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)
REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision
[
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)
Knowledge-inspired 3D Scene Graph Prediction in Point Cloud
[
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)
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning
[
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)
Foundations of Symbolic Languages for Model Interpretability
[
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)
Generic Neural Architecture Search via Regression
[
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)
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
[
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)
Shapley Residuals: Quantifying the limits of the Shapley value for explanations
[
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)
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
[
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)
Distributionally Robust Imitation Learning
[
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)
Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
[
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)
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
[
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)
Regularization in ResNet with Stochastic Depth
[
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)
The Limits of Optimal Pricing in the Dark
[
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)
Parallel and Efficient Hierarchical k-Median Clustering
[
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)
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)
The Value of Information When Deciding What to Learn
[
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)
A Comprehensively Tight Analysis of Gradient Descent for PCA
[
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)
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
[
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) @ Virtual
Detecting Anomalous Event Sequences with Temporal Point Processes
[
Slides]
[
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)
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
[
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)
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
[
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)
Space-time Mixing Attention for Video Transformer
[
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)
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
[
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)
Cross-view Geo-localization with Layer-to-Layer Transformer
[
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) @ Virtual
Parametric Complexity Bounds for Approximating PDEs with Neural Networks
[
Slides]
[
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)
COHESIV: Contrastive Object and Hand Embedding Segmentation In Video
[
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)
Minimax Regret for Stochastic Shortest Path
[
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) @ 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)
Neural Flows: Efficient Alternative to Neural ODEs
[
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)
How Fine-Tuning Allows for Effective Meta-Learning
[
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)
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
[
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)
Dirichlet Energy Constrained Learning for Deep Graph 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)
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)
Making a (Counterfactual) Difference One Rationale at a Time
[
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)
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)
Interactive Label Cleaning with Example-based Explanations
[
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
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) @ 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)
Towards Lower Bounds on the Depth of ReLU Neural Networks
[
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
Intriguing Properties of Contrastive Losses
[
Slides]
[
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)
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
[
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)
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
[
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)
Adversarial Training Helps Transfer Learning via Better 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)
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
[
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)
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)
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning
[
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)
Hierarchical Clustering: $O(1)$-Approximation for Well-Clustered Graphs
[
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)
Concentration inequalities under sub-Gaussian and sub-exponential conditions
[
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)
Large-Scale Unsupervised Object Discovery
[
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)
Independent Prototype Propagation for Zero-Shot Compositionality
[
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)
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery
[
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)
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
[
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)
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)
End-to-end reconstruction meets data-driven regularization for inverse problems
[
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)
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
[
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) @ Virtual
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
[
Slides]
[
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)
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
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)
On Contrastive Representations of Stochastic Processes
[
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)
Constrained Two-step Look-Ahead Bayesian Optimization
[
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)
Nearly-Tight and Oblivious Algorithms for Explainable Clustering
[
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)
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
[
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)
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
[
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)
An Information-theoretic Approach to Distribution Shifts
[
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)
Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering
[
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)
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
[
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) @ Virtual
Active Learning of Convex Halfspaces on Graphs
[
Slides]
[
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)
A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning
[
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)
Hierarchical Skills for Efficient Exploration
[
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)
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
[
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)
Coresets for Clustering with Missing Values
[
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
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
[
Slides]
[
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)
Towards Sharper Generalization Bounds for Structured Prediction
[
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)
Communication-efficient SGD: From Local SGD to One-Shot Averaging
[
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)
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)
Efficient Online Estimation of Causal Effects by Deciding What to Observe
[
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)
On the Frequency Bias of Generative Models
[
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)
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
[
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)
When Are Solutions Connected in Deep Networks?
[
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)
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
[
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
Adversarial Feature Desensitization
[
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)
Robustness of Graph Neural Networks at Scale
[
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)
Label consistency in overfitted generalized $k$-means
[
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)
Local Explanation of Dialogue Response Generation
[
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)
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
[
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)
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
[
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)
Dual Parameterization of Sparse Variational Gaussian Processes
[
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)
Online Facility Location with Multiple Advice
[
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)
Three-dimensional spike localization and improved motion correction for Neuropixels recordings
[
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)
Tracking Without Re-recognition in Humans and Machines
[
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)
Private Non-smooth ERM and SCO in Subquadratic Steps
[
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)
Turing Completeness of Bounded-Precision Recurrent Neural Networks
[
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)
Learning to Ground Multi-Agent Communication with Autoencoders
[
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)
HNPE: Leveraging Global Parameters for Neural Posterior Estimation
[
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)
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)
Memory-efficient Patch-based Inference for Tiny Deep Learning
[
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) @ Virtual
Learning Graph Models for Retrosynthesis Prediction
[
Slides]
[
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)
Can contrastive learning avoid shortcut solutions?
[
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) @ Virtual
Learning to Draw: Emergent Communication through Sketching
[
Slides]
[
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)
Sequential Algorithms for Testing Closeness of Distributions
[
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)
Per-Pixel Classification is Not All You Need for Semantic Segmentation
[
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)
Localization, Convexity, and Star Aggregation
[
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)
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
[
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)
Accelerating Quadratic Optimization with Reinforcement Learning
[
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)
Explicable Reward Design for Reinforcement Learning Agents
[
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) @ Virtual
Distributed Deep Learning In Open Collaborations
[
Slides]
[
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)
Uniform Concentration Bounds toward a Unified Framework for Robust 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)
Emergent Communication of Generalizations
[
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)
Bellman-consistent Pessimism for Offline Reinforcement Learning
[
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)
Learning with Labeling Induced Abstentions
[
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) @ Virtual
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
[
Slides]
[
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)
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling
[
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)
Bridging the Imitation Gap by Adaptive Insubordination
[
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)
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) @ Virtual
Robust Implicit Networks via Non-Euclidean Contractions
[
Slides]
[
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)
No RL, No Simulation: Learning to Navigate without Navigating
[
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) @ Virtual
Conditional Generation Using Polynomial Expansions
[
Slides]
[
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)
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) @ Virtual
Risk-averse Heteroscedastic Bayesian Optimization
[
Slides]
[
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)
Contrastive Learning of Global and Local Video Representations
[
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)
Near Optimal Policy Optimization via REPS
[
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) @ 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) @ Virtual
ResT: An Efficient Transformer for Visual Recognition
[
Slides]
[
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)
Consistency Regularization for Variational Auto-Encoders
[
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) @ Virtual
Learning Fast-Inference Bayesian Networks
[
Slides]
[
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)
Encoding Spatial Distribution of Convolutional Features for Texture Representation
[
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)
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
[
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)
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Invariant Causal Imitation Learning for Generalizable Policies
[
OpenReview]