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Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
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Slides]
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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)
Robustness via Uncertainty-aware Cycle Consistency
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can Information Flows Suggest Targets for Interventions in Neural Circuits?
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Long-Short Transformer: Efficient Transformers for Language and Vision
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Training of Neural Lumigraph Representations using Meta Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Teachable Reinforcement Learning via Advice Distillation
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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)
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Object DGCNN: 3D Object Detection using Dynamic Graphs
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
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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)
Fast rates for prediction with limited expert advice
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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)
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)
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
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios
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Slides]
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
3DP3: 3D Scene Perception via Probabilistic Programming
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal Inference for Event Pairs in Multivariate Point Processes
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Partition and Code: learning how to compress graphs
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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) @ 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)
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)
Revisiting Deep Learning Models for Tabular Data
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Conditioning Sparse Variational Gaussian Processes for Online Decision-making
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One Explanation is Not Enough: Structured Attention Graphs for Image Classification
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
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Slides]
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
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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)
Nonparametric estimation of continuous DPPs with kernel methods
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Streaming Belief Propagation for Community Detection
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Kernel Identification Through Transformers
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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)
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks
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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)
Implicit SVD for Graph Representation Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cortico-cerebellar networks as decoupling neural interfaces
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Attention Bottlenecks for Multimodal Fusion
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Generalized Gumbel-max Causal Mechanisms
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Universality of Graph Neural Networks on Large Random Graphs
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Monte Carlo Tree Search With Iteratively Refining State Abstractions
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dueling Bandits with Adversarial Sleeping
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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
H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
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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)
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Disentangled Behavior Embeddings
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Across-animal odor decoding by probabilistic manifold alignment
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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) @ Virtual
Computer-Aided Design as Language
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Impression learning: Online representation learning with synaptic plasticity
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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)
Matching a Desired Causal State via Shift Interventions
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Indexed Minimum Empirical Divergence for Unimodal Bandits
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Escape saddle points by a simple gradient-descent based algorithm
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
BARTScore: Evaluating Generated Text as Text Generation
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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) @ Virtual
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Continuous Mapping For Augmentation Design
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Weisfeiler and Lehman Go Cellular: CW Networks
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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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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)
R-Drop: Regularized Dropout for Neural Networks
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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)
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) @ Virtual
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Panoptic 3D Scene Reconstruction From a Single RGB Image
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Backward-Compatible Prediction Updates: A Probabilistic Approach
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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)
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bandits with Knapsacks beyond the Worst Case
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning-to-learn non-convex piecewise-Lipschitz functions
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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)
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
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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) @ Virtual
Temporally Abstract Partial Models
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OpenReview]
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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) @ Virtual
End-to-end Multi-modal Video Temporal Grounding
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Moser Flow: Divergence-based Generative Modeling on Manifolds
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A first-order primal-dual method with adaptivity to local smoothness
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Enabling Meta-Learning from Target Models
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Attention Approximates Sparse Distributed Memory
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Semi-Random Satisfaction of Voting Axioms
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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)
Piper: Multidimensional Planner for DNN Parallelization
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Center Smoothing: Certified Robustness for Networks with Structured Outputs
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimizing Reusable Knowledge for Continual Learning via Metalearning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Convex Optimization with Continuous Switching Constraint
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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)
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Compressive Visual Representations
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Encoding Robustness to Image Style via Adversarial Feature Perturbations
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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)
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
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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
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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)
PatchGame: Learning to Signal Mid-level Patches in Referential Games
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Passive attention in artificial neural networks predicts human visual selectivity
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Bayesian Optimization with High-Dimensional Outputs
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Score-based Generative Neural Networks for Large-Scale Optimal Transport
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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
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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)
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
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OpenReview]
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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) @ Virtual
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Supervising the Transfer of Reasoning Patterns in VQA
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Predicting What You Already Know Helps: Provable Self-Supervised Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Domain Invariant Representation Learning with Domain Density Transformations
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
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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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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding
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OpenReview]
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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
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting ResNets: Improved Training and Scaling Strategies
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Suboptimality of Thompson Sampling in High Dimensions
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
MAU: A Motion-Aware Unit for Video Prediction and Beyond
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes
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OpenReview]
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Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Graph Neural Networks with Local Graph Parameters
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Difficulty of Passive Learning in Deep Reinforcement Learning
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta-Learning Reliable Priors in the Function Space
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Matrix factorisation and the interpretation of geodesic distance
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
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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
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OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Calibration and Consistency of Adversarial Surrogate Losses
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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)
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Safe Pontryagin Differentiable Programming
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The balancing principle for parameter choice in distance-regularized domain adaptation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can fMRI reveal the representation of syntactic structure in the brain?
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-modal Dependency Tree for Video Captioning
[
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)
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Aligning Pretraining for Detection via Object-Level Contrastive Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Answering Complex Causal Queries With the Maximum Causal Set Effect
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Calibration and Out-of-Domain Generalization
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tractable Regularization of Probabilistic Circuits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cardinality constrained submodular maximization for random streams
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Memorization in Probabilistic Deep Generative Models
[
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) @ Virtual
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bayesian decision-making under misspecified priors with applications to meta-learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Multi-Armed Bandits with Adaptive Inference
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multilingual Pre-training with Universal Dependency Learning
[
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)
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)
Optimality of variational inference for stochasticblock model with missing links
[
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) @ 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)
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
[
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)
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
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) @ Virtual
Gradient-based Hyperparameter Optimization Over Long Horizons
[
Slides]
[
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)
Dense Unsupervised Learning for Video Segmentation
[
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)
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reverse-Complement Equivariant Networks for DNA Sequences
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Automated Discovery of Adaptive Attacks on Adversarial Defenses
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Invariance to Spurious Correlations in Text Classification
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Grounding inductive biases in natural images: invariance stems from variations in data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Editing a classifier by rewriting its prediction rules
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Large-Scale Wasserstein Gradient Flows
[
Slides]
[
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)
SOLQ: Segmenting Objects by Learning Queries
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MICo: Improved representations via sampling-based state similarity for Markov decision processes
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Robustness between the worst and average case
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Achieving Rotational Invariance with Bessel-Convolutional Neural Networks
[
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)
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)
DiBS: Differentiable Bayesian Structure Learning
[
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)
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ 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)
Do Vision Transformers See Like Convolutional Neural Networks?
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Explaining Hyperparameter Optimization via Partial Dependence Plots
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
[
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)
Bootstrap Your Object Detector via Mixed Training
[
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)
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
[
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)
Charting and Navigating the Space of Solutions for Recurrent Neural Networks
[
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)
Non-Gaussian Gaussian Processes for Few-Shot Regression
[
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)
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) @ 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)
Learning One Representation to Optimize All Rewards
[
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) @ Virtual
Implicit Semantic Response Alignment for Partial Domain Adaptation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Large-Scale Learning with Fourier Features and Tensor Decompositions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Provably Strict Generalisation Benefit for Invariance in Kernel Methods
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Confident Anchor-Induced Multi-Source Free Domain Adaptation
[
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) @ Virtual
DOCTOR: A Simple Method for Detecting Misclassification Errors
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A novel notion of barycenter for probability distributions based on optimal weak mass transport
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scaling Gaussian Processes with Derivative Information Using Variational Inference
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness of Streaming Algorithms through Importance Sampling
[
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)
A variational approximate posterior for the deep Wishart process
[
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 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)
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
[
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)
BNS: Building Network Structures Dynamically for Continual Learning
[
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)
Training Neural Networks with Fixed Sparse Masks
[
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)
On Inductive Biases for Heterogeneous Treatment Effect Estimation
[
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) @ Virtual
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tensor Normal Training for Deep Learning Models
[
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)
Continuous vs. Discrete Optimization of Deep Neural Networks
[
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)
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
[
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)
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)
Unique sparse decomposition of low rank matrices
[
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) @ Virtual
$\texttt{LeadCache}$: Regret-Optimal Caching in Networks
[
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)
Finding Bipartite Components in Hypergraphs
[
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)
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
[
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)
Autonomous Reinforcement Learning via Subgoal Curricula
[
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) @ Virtual
Validation Free and Replication Robust Volume-based Data Valuation
[
Slides]
[
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)
Revisiting the Calibration of Modern Neural Networks
[
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)
Multi-armed Bandit Requiring Monotone Arm Sequences
[
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)
Residual Relaxation for Multi-view Representation Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Random Noise Defense Against Query-Based Black-Box Attacks
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dynamic Bottleneck for Robust Self-Supervised Exploration
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Automatic Unsupervised Outlier Model Selection
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Design of Experiments for Stochastic Contextual Linear Bandits
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation
[
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)
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
[
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) @ 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)
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
[
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) @ Virtual
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Circuit Synthesis from Specification Patterns
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
[
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)
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mirror Langevin Monte Carlo: the Case Under Isoperimetry
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Relative stability toward diffeomorphisms indicates performance in deep nets
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Offline Model-based Adaptable Policy Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta Learning Backpropagation And Improving It
[
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)
Online and Offline Reinforcement Learning by Planning with a Learned Model
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
InfoGCL: Information-Aware Graph Contrastive Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Algorithmic Stability of Adversarial Training
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Probabilistic Tensor Decomposition of Neural Population Spiking Activity
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep Learning Through the Lens of Example Difficulty
[
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)
CrypTen: Secure Multi-Party Computation Meets Machine Learning
[
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 Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers
[
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) @ Virtual
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Environment Generation for Zero-Shot Compositional Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spatio-Temporal Variational Gaussian Processes
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
[
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)
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Equilibria in Matching Markets from Bandit Feedback
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Thompson Sampling using Sparse Gaussian Process Models
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural optimal feedback control with local learning rules
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane
[
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)
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)
Partial success in closing the gap between human and machine vision
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Evaluating model performance under worst-case subpopulations
[
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)
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Interpretable Model with Transformation Equivariant Interpretation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
[
Slides]
[
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)
Dynamic population-based meta-learning for multi-agent communication with natural language
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Instance-dependent Label-noise Learning under a Structural Causal Model
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
[
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)
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
[
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)
Arbitrary Conditional Distributions with Energy
[
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
Human-Adversarial Visual Question Answering
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Intervention Target Estimation in Linear Models
[
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) @ 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)
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)
Perceptual Score: What Data Modalities Does Your Model Perceive?
[
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)
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
[
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)
Morié Attack (MA): A New Potential Risk of Screen Photos
[
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)
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A unified framework for bandit multiple testing
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Memory Efficient Meta-Learning with Large Images
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence
[
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)
Counterfactual Explanations Can Be Manipulated
[
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)
Misspecified Gaussian Process Bandit Optimization
[
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)
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
ReAct: Out-of-distribution Detection With Rectified Activations
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Component Interactions in Two-Stage Recommender Systems
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially robust learning for security-constrained optimal power flow
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Analysis of one-hidden-layer neural networks via the resolvent method
[
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)
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
[
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)
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator
[
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) @ Virtual
Deep Reinforcement Learning at the Edge of the Statistical Precipice
[
Slides]
[
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) @ Virtual
The Many Faces of Adversarial Risk
[
Slides]
[
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)
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness with Semi-Infinite Constrained Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Volume Rendering of Neural Implicit Surfaces
[
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)
Refining Language Models with Compositional Explanations
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Overinterpretation reveals image classification model pathologies
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Off-Policy Risk Assessment in Contextual Bandits
[
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)
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits
[
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)
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
[
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)
Shape Registration in the Time of Transformers
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Rates for Nonparametric Density Estimation under Communication Constraints
[
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) @ Virtual
The Inductive Bias of Quantum Kernels
[
Slides]
[
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) @ 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)
Reformulating Zero-shot Action Recognition for Multi-label Actions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Diverse Model Selection for Accessible Transfer Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dueling Bandits with Team Comparisons
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SketchGen: Generating Constrained CAD Sketches
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Private learning implies quantum stability
[
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)
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Searching the Search Space of Vision Transformer
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
[
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)
BayesIMP: Uncertainty Quantification for Causal Data Fusion
[
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)
Collaborative Causal Discovery with Atomic Interventions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sharp Impossibility Results for Hyper-graph Testing
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistically and Computationally Efficient Linear Meta-representation 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)
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)
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MarioNette: Self-Supervised Sprite Learning
[
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)
Online Learning and Control of Complex Dynamical Systems from Sensory Input
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Behavior From the Void: Unsupervised Active Pre-Training
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identifiable Generative models for Missing Not at Random Data Imputation
[
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)
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
[
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)
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)
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
[
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)
Accurate Point Cloud Registration with Robust Optimal Transport
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fair Exploration via Axiomatic Bargaining
[
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)
Sequential Causal Imitation Learning with Unobserved Confounders
[
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)
Grounding Spatio-Temporal Language with Transformers
[
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)
Hyperbolic Procrustes Analysis Using Riemannian Geometry
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Class-agnostic Reconstruction of Dynamic Objects from Videos
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
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)
On Episodes, Prototypical Networks, and Few-Shot Learning
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
[
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) @ Virtual
Residual2Vec: Debiasing graph embedding with random graphs
[
Slides]
[
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) @ Virtual
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Cardinality-Regularized Hawkes-Granger Model
[
Slides]
[
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)
Distributed Zero-Order Optimization under Adversarial Noise
[
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)
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Decentralized Learning in Online Queuing Systems
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
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)
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Measuring Generalization with Optimal Transport
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spectral embedding for dynamic networks with stability guarantees
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ 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)
Object-aware Contrastive Learning for Debiased Scene Representation
[
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)
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Marginalised Gaussian Processes with Nested Sampling
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Certified Robust Training with Short Warmup
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamical Wasserstein Barycenters for Time-series Modeling
[
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)
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Active Offline Policy Selection
[
Slides]
[
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)
Relational Self-Attention: What's Missing in Attention for Video Understanding
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ 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)
Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs
[
OpenReview]
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
[
OpenReview]
Poster
Tue Dec 07 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 Spike: Rethinking Gradient-Descent for Training 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)
K-level Reasoning for Zero-Shot Coordination in Hanabi
[
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)
Deep Residual Learning in Spiking Neural Networks
[
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)
Unsupervised Foreground Extraction via Deep Region Competition
[
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) @ Virtual
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
[
Slides]
[
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)
PiRank: Scalable Learning To Rank via Differentiable Sorting
[
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)
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
[
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)
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering
[
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)
ELLA: Exploration through Learned Language Abstraction
[
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) @ Virtual
Do Transformers Really Perform Badly for Graph Representation?
[
Slides]
[
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)
Understanding the Under-Coverage Bias in Uncertainty Estimation
[
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)
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
[
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)
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)
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
[
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)
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
[
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)
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
[
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)
Learning Large Neighborhood Search Policy for Integer Programming
[
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)
Parameter Prediction for Unseen Deep Architectures
[
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)
Escaping Saddle Points with Compressed SGD
[
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)
Generalized Proximal Policy Optimization with Sample Reuse
[
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)
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)
Bandit Learning with Delayed Impact of Actions
[
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)
Unadversarial Examples: Designing Objects for Robust Vision
[
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
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)
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)
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
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)
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)
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)
Rethinking Neural Operations for Diverse Tasks
[
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)
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach
[
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)
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)
Dimensionality Reduction for Wasserstein Barycenter
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Object-Level Representation Learning from Scene Images
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Value of Infinite Gradients in Variational Autoencoder Models
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
[
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)
Direct Multi-view Multi-person 3D Pose Estimation
[
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)
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) @ Virtual
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
[
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)
SSMF: Shifting Seasonal Matrix Factorization
[
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 Space Partitions for Path Planning
[
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)
Accumulative Poisoning Attacks on Real-time Data
[
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)
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
[
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)
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
[
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) @ Virtual
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
[
Slides]
[
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)
Reconstruction for Powerful Graph Representations
[
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)
NovelD: A Simple yet Effective Exploration Criterion
[
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)
TopicNet: Semantic Graph-Guided Topic Discovery
[
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)
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
[
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)
Overparameterization Improves Robustness to Covariate Shift in High Dimensions
[
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)
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
[
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)
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
[
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)
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
[
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)
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
[
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)
Self-Supervised Learning with Kernel Dependence Maximization
[
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)
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)
Efficient Truncated Linear Regression with Unknown Noise Variance
[
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)
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
[
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)
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)
Absolute Neighbour Difference based Correlation Test for Detecting Heteroscedastic Relationships
[
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)
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
[
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
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
[
Slides]
[
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)
Remember What You Want to Forget: Algorithms for Machine Unlearning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
AugMax: Adversarial Composition of Random Augmentations for Robust Training
[
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)
Meta-learning with an Adaptive Task Scheduler
[
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)
On the Cryptographic Hardness of Learning Single Periodic Neurons
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Information is Power: Intrinsic Control via Information Capture
[
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)
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
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
[
Slides]
[
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) @ Virtual
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
[
Slides]
[
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)
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
[
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)
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
[
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)
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
[
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)
Learning where to learn: Gradient sparsity in meta and continual 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) @ Virtual
Multi-Person 3D Motion Prediction with Multi-Range Transformers
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Excess Capacity and Backdoor Poisoning
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
[
Slides]
[
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)
Functional Neural Networks for Parametric Image Restoration Problems
[
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)
Particle Cloud Generation with Message Passing Generative Adversarial Networks
[
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
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) @ Virtual
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
[
Slides]
[
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)
Understanding How Encoder-Decoder Architectures Attend
[
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)
Towards Biologically Plausible Convolutional Networks
[
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)
Learning State Representations from Random Deep Action-conditional Predictions
[
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
Exponential Graph is Provably Efficient for Decentralized Deep Training
[
Slides]
[
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)
Few-Shot Data-Driven Algorithms for Low Rank Approximation
[
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)
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
[
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)
Robust Auction Design in the Auto-bidding World
[
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)
Residual Pathway Priors for Soft Equivariance Constraints
[
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)
Nearly Horizon-Free Offline Reinforcement Learning
[
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) @ 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)
Exploring Forensic Dental Identification with Deep 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)
Generalized DataWeighting via Class-Level Gradient Manipulation
[
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)
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
[
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)
Representation Learning on Spatial Networks
[
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)
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)
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
[
Slides]
[
OpenReview]
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
EIGNN: Efficient Infinite-Depth Graph Neural Networks
[
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)
Modified Frank Wolfe in Probability Space
[
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)
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
[
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) @ Virtual
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
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Slides]
[
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)
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)
A Faster Decentralized Algorithm for Nonconvex Minimax Problems
[
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)
Provably efficient multi-task reinforcement learning with model transfer
[
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)
Alignment Attention by Matching Key and Query Distributions
[
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)
Regularized Softmax Deep Multi-Agent Q-Learning
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Handling Long-tailed Feature Distribution in AdderNets
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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)
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
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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)
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning
[
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)
A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Collaborative Policies to Solve NP-hard Routing Problems
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Slides]
[
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)
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
[
OpenReview]
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning to dehaze with polarization
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Slides]
[
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)
Relative Uncertainty Learning for Facial Expression Recognition