Toggle Poster Visibility
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Influence Patterns for Explaining Information Flow in BERT
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Minimax Regret for Stochastic Shortest Path
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Lower Bounds on the Depth of ReLU Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
How Fine-Tuning Allows for Effective Meta-Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Cross-view Geo-localization with Layer-to-Layer Transformer
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sequential Algorithms for Testing Closeness of Distributions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SNIPS: Solving Noisy Inverse Problems Stochastically
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
HNPE: Leveraging Global Parameters for Neural Posterior Estimation
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Infinite Time Horizon Safety of Bayesian Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Tracking Without Re-recognition in Humans and Machines
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Can contrastive learning avoid shortcut solutions?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning to Draw: Emergent Communication through Sketching
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Algorithmic stability and generalization of an unsupervised feature selection algorithm
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Shift Invariance Can Reduce Adversarial Robustness
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Learning of Global and Local Video Representations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Near Optimal Policy Optimization via REPS
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Intriguing Properties of Vision Transformers
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning in Newcomblike Environments
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
No Regrets for Learning the Prior in Bandits
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
ResT: An Efficient Transformer for Visual Recognition
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Consistency Regularization for Variational Auto-Encoders
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Detecting Anomalous Event Sequences with Temporal Point Processes
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
How Powerful are Performance Predictors in Neural Architecture Search?
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Speedy Performance Estimation for Neural Architecture Search
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adversarial Training Helps Transfer Learning via Better Representations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hierarchical Clustering: $O(1)$-Approximation for Well-Clustered Graphs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Contrastive Representations of Stochastic Processes
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Predicting Deep Neural Network Generalization with Perturbation Response Curves
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hierarchical Skills for Efficient Exploration
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
CCVS: Context-aware Controllable Video Synthesis
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Sparse is Enough in Scaling Transformers
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Encoding Spatial Distribution of Convolutional Features for Texture Representation
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Explanation-based Data Augmentation for Image Classification
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Why Do Better Loss Functions Lead to Less Transferable Features?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Better Algorithms for Individually Fair $k$-Clustering
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning latent causal graphs via mixture oracles
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Explicable Reward Design for Reinforcement Learning Agents
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Laplace Redux - Effortless Bayesian Deep Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Parametric Complexity Bounds for Approximating PDEs with Neural Networks
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adversarial Intrinsic Motivation for Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Distributed Deep Learning In Open Collaborations
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Clustering Effect of Adversarial Robust Models
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Conditional Generation Using Polynomial Expansions
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Constrained Two-step Look-Ahead Bayesian Optimization
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Early-stopped neural networks are consistent
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Bellman-consistent Pessimism for Offline Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning Knowledge Graph-based World Models of Textual Environments
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Memory-efficient Patch-based Inference for Tiny Deep Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Theoretical Analysis of Fine-tuning with Linear Teachers
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Progressive Feature Interaction Search for Deep Sparse Network
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Private Non-smooth ERM and SCO in Subquadratic Steps
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Limits of Optimal Pricing in the Dark
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Invertible DenseNets with Concatenated LipSwish
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Parallel and Efficient Hierarchical k-Median Clustering
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Online Active Learning with Surrogate Loss Functions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Risk Monotonicity in Statistical Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Exponential Separation between Two Learning Models and Adversarial Robustness
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Existence of The Adversarial Bayes Classifier
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Power of Differentiable Learning versus PAC and SQ Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning with Labeling Induced Abstentions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Intriguing Properties of Contrastive Losses
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Generic Neural Architecture Search via Regression
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Implicit Regularization in Matrix Sensing via Mirror Descent
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Sharper Generalization Bounds for Structured Prediction
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Localization, Convexity, and Star Aggregation
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Concentration inequalities under sub-Gaussian and sub-exponential conditions
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Communication-efficient SGD: From Local SGD to One-Shot Averaging
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Coresets for Clustering with Missing Values
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Algorithmic Instabilities of Accelerated Gradient Descent
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
GemNet: Universal Directional Graph Neural Networks for Molecules
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
EDGE: Explaining Deep Reinforcement Learning Policies
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Rethinking the Pruning Criteria for Convolutional Neural Network
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Explaining Latent Representations with a Corpus of Examples
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Regularization in ResNet with Stochastic Depth
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Making a (Counterfactual) Difference One Rationale at a Time
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Learning for Neural Topic Model
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Last iterate convergence of SGD for Least-Squares in the Interpolation regime.
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Universal Rate-Distortion-Perception Representations for Lossy Compression
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Ground Multi-Agent Communication with Autoencoders
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Turing Completeness of Bounded-Precision Recurrent Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Practical Near Neighbor Search via Group Testing
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Per-Pixel Classification is Not All You Need for Semantic Segmentation
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Interactive Label Cleaning with Example-based Explanations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Designing Counterfactual Generators using Deep Model Inversion
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Emergent Communication of Generalizations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
To The Point: Correspondence-driven monocular 3D category reconstruction
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Foundations of Symbolic Languages for Model Interpretability
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Convergence of adaptive algorithms for constrained weakly convex optimization
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Normative and Biologically Plausible Algorithm for Independent Component Analysis
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Independent Prototype Propagation for Zero-Shot Compositionality
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
End-to-end reconstruction meets data-driven regularization for inverse problems
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Nearly-Tight and Oblivious Algorithms for Explainable Clustering
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
An Information-theoretic Approach to Distribution Shifts
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Structured Denoising Diffusion Models in Discrete State-Spaces
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
When Are Solutions Connected in Deep Networks?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dual Parameterization of Sparse Variational Gaussian Processes
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Online Facility Location with Multiple Advice
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Linear Stability of SGD and Input-Smoothness of Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Invariant Causal Imitation Learning for Generalizable Policies
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Fast-Inference Bayesian Networks
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Power of Edge Independent Graph Models
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
No RL, No Simulation: Learning to Navigate without Navigating
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Neural Flows: Efficient Alternative to Neural ODEs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Topological Relational Learning on Graphs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Robust and Reliable Algorithmic Recourse
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Active clustering for labeling training data
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Smooth Normalizing Flows
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Entropic Desired Dynamics for Intrinsic Control
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Frequency Bias of Generative Models
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Estimating the Unique Information of Continuous Variables
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Local Explanation of Dialogue Response Generation
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
RMM: Reinforced Memory Management for Class-Incremental Learning
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Antipodes of Label Differential Privacy: PATE and ALIBI
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Flows: Pruning Continuous-depth Models
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scalable Neural Data Server: A Data Recommender for Transfer Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Space-time Mixing Attention for Video Transformer
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Facet Clustering Variational Autoencoders
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Efficient Generalization with Distributionally Robust Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Three-dimensional spike localization and improved motion correction for Neuropixels recordings
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust Implicit Networks via Non-Euclidean Contractions
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Visual Adversarial Imitation Learning using Variational Models
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Shapley Residuals: Quantifying the limits of the Shapley value for explanations
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Curriculum Design for Teaching via Demonstrations: Theory and Applications
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scatterbrain: Unifying Sparse and Low-rank Attention
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Label consistency in overfitted generalized $k$-means
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robustness of Graph Neural Networks at Scale
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Deeper Deep Reinforcement Learning with Spectral Normalization
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
COHESIV: Contrastive Object and Hand Embedding Segmentation In Video
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Risk-averse Heteroscedastic Bayesian Optimization
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Bridging the Imitation Gap by Adaptive Insubordination
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Accelerating Quadratic Optimization with Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Edge Representation Learning with Hypergraphs
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Feature Desensitization
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Graph Models for Retrosynthesis Prediction
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improved Regularization and Robustness for Fine-tuning in Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Play to Grade: Testing Coding Games as Classifying Markov Decision Process
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Efficient Online Estimation of Causal Effects by Deciding What to Observe
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Active Learning of Convex Halfspaces on Graphs
[
Slides]
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adaptive Proximal Gradient Methods for Structured Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Does enforcing fairness mitigate biases caused by subpopulation shift?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Generating High-Quality Explanations for Navigation in Partially-Revealed Environments
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ErrorCompensatedX: error compensation for variance reduced algorithms
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Comprehensively Tight Analysis of Gradient Descent for PCA
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Exploring the Limits of Out-of-Distribution Detection
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Value of Information When Deciding What to Learn
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Large-Scale Unsupervised Object Discovery
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
[
OpenReview]
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Distributionally Robust Imitation Learning
[
OpenReview]