(266 events) Timezone: America/Los_Angeles
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Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Making the most of your day: online learning for optimal allocation of time
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Post-Training Sparsity-Aware Quantization
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Global Convergence of Online Optimization for Nonlinear Model Predictive Control
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Adaptive Data Augmentation on Temporal Graphs
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
DRONE: Data-aware Low-rank Compression for Large NLP Models
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Instance-optimal Mean Estimation Under Differential Privacy
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Automatic Data Augmentation for Generalization in Reinforcement Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Gradient Method for Multilevel Optimization
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient Combination of Rematerialization and Offloading for Training DNNs
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Structure-Aware Random Fourier Kernel for Graphs
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Subquadratic Overparameterization for Shallow Neural Networks
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Differentially Private Multi-Armed Bandits in the Shuffle Model
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Combinatorial Pure Exploration with Bottleneck Reward Function
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Well-tuned Simple Nets Excel on Tabular Datasets
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Complexity of Bayesian Network Learning: Revisiting the Superstructure
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Curriculum Disentangled Recommendation with Noisy Multi-feedback
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Meta-Learning for Relative Density-Ratio Estimation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Decentralized Q-learning in Zero-sum Markov Games
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model Selection for Bayesian Autoencoders
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient Learning of Discrete-Continuous Computation Graphs
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Parameter-free HE-friendly Logistic Regression
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
CATs: Cost Aggregation Transformers for Visual Correspondence
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Adversarial Reweighting for Partial Domain Adaptation
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Personalized Federated Learning With Gaussian Processes
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Understanding Partial Multi-Label Learning via Mutual Information
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Precise characterization of the prior predictive distribution of deep ReLU networks
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
De-randomizing MCMC dynamics with the diffusion Stein operator
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PSD Representations for Effective Probability Models
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Independent mechanism analysis, a new concept?
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Time-independent Generalization Bounds for SGLD in Non-convex Settings
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Causal Identification with Matrix Equations
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Conditional Gaussian Mixture Model for Constrained Clustering
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Integrating Tree Path in Transformer for Code Representation
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stylized Dialogue Generation with Multi-Pass Dual Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Faster Non-asymptotic Convergence for Double Q-learning
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Hessian Eigenspectra of More Realistic Nonlinear Models
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Doubly Robust Thompson Sampling with Linear Payoffs
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning interaction rules from multi-animal trajectories via augmented behavioral models
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Robustifying Algorithms of Learning Latent Trees with Vector Variables
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Generalization Guarantee of SGD for Pairwise Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Universal Off-Policy Evaluation
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Tactical Optimism and Pessimism for Deep Reinforcement Learning
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Refined Learning Bounds for Kernel and Approximate $k$-Means
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Continual Bayesian Meta-Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Causal Bandits with Unknown Graph Structure
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Generalizable Multi-linear Attention Network
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Graph Differentiable Architecture Search with Structure Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Oracle Complexity in Nonsmooth Nonconvex Optimization
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ROI Maximization in Stochastic Online Decision-Making
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Cycle Self-Training for Domain Adaptation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Disentangled Contrastive Learning on Graphs
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Uncertainty-Driven Loss for Single Image Super-Resolution
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
IRM—when it works and when it doesn't: A test case of natural language inference
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning to Combine Per-Example Solutions for Neural Program Synthesis
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Note on Sparse Generalized Eigenvalue Problem
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Few-Round Learning for Federated Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Entropy-based adaptive Hamiltonian Monte Carlo
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning a Single Neuron with Bias Using Gradient Descent
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Re-ranking for image retrieval and transductive few-shot classification
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Truncated Marginal Neural Ratio Estimation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Lip to Speech Synthesis with Visual Context Attentional GAN
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
See More for Scene: Pairwise Consistency Learning for Scene Classification
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Graphical Models in Heavy-Tailed Markets
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Deep Contextual Video Compression
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
What’s a good imputation to predict with missing values?
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Artistic Style Transfer with Internal-external Learning and Contrastive Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Implicit Bias of Minima Stability: A View from Function Space
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
What can linearized neural networks actually say about generalization?
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Multi-Task Learning with Gumbel-Softmax Priors
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rectifying the Shortcut Learning of Background for Few-Shot Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Counterexample Guided RL Policy Refinement Using Bayesian Optimization
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model-Based Reinforcement Learning via Imagination with Derived Memory
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Proportional Participatory Budgeting with Additive Utilities
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On learning sparse vectors from mixture of responses
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Estimation Bias in Double Q-Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Powerpropagation: A sparsity inducing weight reparameterisation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning curves of generic features maps for realistic datasets with a teacher-student model
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
SWAD: Domain Generalization by Seeking Flat Minima
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Information Directed Reward Learning for Reinforcement Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Associating Objects with Transformers for Video Object Segmentation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Agent Modelling under Partial Observability for Deep Reinforcement Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Supervised Learning Disentangled Group Representation as Feature
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Co-evolution Transformer for Protein Contact Prediction
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Global-aware Beam Search for Neural Abstractive Summarization
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Diversity Matters When Learning From Ensembles
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Slides]
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Asynchronous Decentralized Online Learning
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Effective Meta-Regularization by Kernelized Proximal Regularization
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OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Multi-Label Learning with Pairwise Relevance Ordering
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Gradient Inversion with Generative Image Prior
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Do Different Tracking Tasks Require Different Appearance Models?
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Uncertainty Calibration for Ensemble-Based Debiasing Methods
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Preserved central model for faster bidirectional compression in distributed settings
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Compositional Reinforcement Learning from Logical Specifications
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
History Aware Multimodal Transformer for Vision-and-Language Navigation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient and Local Parallel Random Walks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Online Meta-Learning via Learning with Layer-Distributed Memory
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Multi-Armed Bandits with Control Variates
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Error Compensated Distributed SGD Can Be Accelerated
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Asynchronous Decentralized SGD with Quantized and Local Updates
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
How Tight Can PAC-Bayes be in the Small Data Regime?
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Provable Generalization of Recurrent Neural Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Overlapping Spaces for Compact Graph Representations
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Hypergraph Propagation and Community Selection for Objects Retrieval
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Numerical Composition of Differential Privacy
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Latent Matters: Learning Deep State-Space Models
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Subgoal Search For Complex Reasoning Tasks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Low-Fidelity Video Encoder Optimization for Temporal Action Localization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic bandits with groups of similar arms.
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking gradient sparsification as total error minimization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Understanding Bandits with Graph Feedback
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels
[
Slides]
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking the Variational Interpretation of Accelerated Optimization Methods
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
BooVI: Provably Efficient Bootstrapped Value Iteration
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Conformal Prediction using Conditional Histograms
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Identifiability in inverse reinforcement learning
[
OpenReview]
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Modular Gaussian Processes for Transfer Learning
[
OpenReview]