Toggle Poster Visibility
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Prior-independent Dynamic Auctions for a Value-maximizing Buyer
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unifying lower bounds on prediction dimension of convex surrogates
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
EIGNN: Efficient Infinite-Depth Graph Neural Networks
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
UniDoc: Unified Pretraining Framework for Document Understanding
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
PiRank: Scalable Learning To Rank via Differentiable Sorting
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Large Neighborhood Search Policy for Integer Programming
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Parameter Prediction for Unseen Deep Architectures
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards Robust Bisimulation Metric Learning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unadversarial Examples: Designing Objects for Robust Vision
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
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Slides]
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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
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Densely connected normalizing flows
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Slides]
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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
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking Neural Operations for Diverse Tasks
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Robust Regression Revisited: Acceleration and Improved Estimation Rates
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Simulation of Soft Multi-body Systems
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Object-Level Representation Learning from Scene Images
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Direct Multi-view Multi-person 3D Pose Estimation
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Amortized Variational Inference for Simple Hierarchical Models
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Slides]
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
SSMF: Shifting Seasonal Matrix Factorization
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Space Partitions for Path Planning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Accumulative Poisoning Attacks on Real-time Data
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning with Noisy Correspondence for Cross-modal Matching
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reconstruction for Powerful Graph Representations
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
TopicNet: Semantic Graph-Guided Topic Discovery
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Automorphic Equivalence-aware Graph Neural Network
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
AC-GC: Lossy Activation Compression with Guaranteed Convergence
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Self-Supervised Learning with Kernel Dependence Maximization
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Improved Transformer for High-Resolution GANs
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Slides]
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Weighted model estimation for offline model-based reinforcement learning
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Remember What You Want to Forget: Algorithms for Machine Unlearning
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
DeepGEM: Generalized Expectation-Maximization for Blind Inversion
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Information is Power: Intrinsic Control via Information Capture
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
MagNet: A Neural Network for Directed Graphs
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
MADE: Exploration via Maximizing Deviation from Explored Regions
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Understanding the Effect of Stochasticity in Policy Optimization
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning where to learn: Gradient sparsity in meta and continual learning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Multi-Person 3D Motion Prediction with Multi-Range Transformers
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Excess Capacity and Backdoor Poisoning
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Frequency Domain Approximation for Binary Neural Networks
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Functional Neural Networks for Parametric Image Restoration Problems
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Particle Cloud Generation with Message Passing Generative Adversarial Networks
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning State Representations from Random Deep Action-conditional Predictions
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reverse engineering learned optimizers reveals known and novel mechanisms
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Few-Shot Data-Driven Algorithms for Low Rank Approximation
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
List-Decodable Mean Estimation in Nearly-PCA Time
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
How Data Augmentation affects Optimization for Linear Regression
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Robust Auction Design in the Auto-bidding World
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Curriculum Learning for Vision-and-Language Navigation
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Nearly Horizon-Free Offline Reinforcement Learning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding
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Slides]
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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
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploring Forensic Dental Identification with Deep Learning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Generalized DataWeighting via Class-Level Gradient Manipulation
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Quantifying and Improving Transferability in Domain Generalization
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Representation Learning on Spatial Networks
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Self-Supervised Multi-Object Tracking with Cross-input Consistency
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Modified Frank Wolfe in Probability Space
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
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Slides]
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Taxonomizing local versus global structure in neural network loss landscapes
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
K-level Reasoning for Zero-Shot Coordination in Hanabi
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Out-of-Distribution Generalization in Kernel Regression
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards a Theoretical Framework of Out-of-Distribution Generalization
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
ELLA: Exploration through Learned Language Abstraction
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A mechanistic multi-area recurrent network model of decision-making
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding the Under-Coverage Bias in Uncertainty Estimation
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Subgroup Generalization and Fairness of Graph Neural Networks
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Predicting Event Memorability from Contextual Visual Semantics
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Do Transformers Really Perform Badly for Graph Representation?
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Augmented Shortcuts for Vision Transformers
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Foreground Extraction via Deep Region Competition
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Deep Residual Learning in Spiking Neural Networks
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Choose a Transformer: Fourier or Galerkin
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
MOMA: Multi-Object Multi-Actor Activity Parsing
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Faster Decentralized Algorithm for Nonconvex Minimax Problems
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Discovery of Options via Meta-Learned Subgoals
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Low-Rank Constraints for Fast Inference in Structured Models
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Fine-grained Generalization Analysis of Inductive Matrix Completion
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
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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
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dynamic Normalization and Relay for Video Action Recognition
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Residual Pathway Priors for Soft Equivariance Constraints
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Exponential Graph is Provably Efficient for Decentralized Deep Training
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards Biologically Plausible Convolutional Networks
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Gradual Domain Adaptation without Indexed Intermediate Domains
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding How Encoder-Decoder Architectures Attend
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
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Slides]
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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
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
XDO: A Double Oracle Algorithm for Extensive-Form Games
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking Graph Transformers with Spectral Attention
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Lossy Compression for Lossless Prediction
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Cryptographic Hardness of Learning Single Periodic Neurons
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Meta-learning with an Adaptive Task Scheduler
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
AugMax: Adversarial Composition of Random Augmentations for Robust Training
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
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Slides]
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Absolute Neighbour Difference based Correlation Test for Detecting Heteroscedastic Relationships
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Efficient Truncated Linear Regression with Unknown Noise Variance
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Multi-Implicit Neural Representation for Fonts
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Novel Upper Bounds for the Constrained Most Probable Explanation Task
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Overparameterization Improves Robustness to Covariate Shift in High Dimensions
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
NovelD: A Simple yet Effective Exploration Criterion
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
CLIP-It! Language-Guided Video Summarization
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OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
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)
Revisiting 3D Object Detection From an Egocentric Perspective
[
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)
Dimensionality Reduction for Wasserstein Barycenter
[
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)
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
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)
Machine versus Human Attention in Deep Reinforcement Learning Tasks
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 learning structure preserving brackets for forecasting irreversible processes
[
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)
On the Variance of the Fisher Information for Deep Learning
[
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) @ Virtual
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work
[
Slides]
[
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)
Provably efficient multi-task reinforcement learning with model transfer
[
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)
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Bandit Learning with Delayed Impact of Actions
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Heavy Ball Neural Ordinary Differential Equations
[
OpenReview]