Papers
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
Fnu Suya, Xiao Zhang, Yuan Tian et al.
What Do Deep Saliency Models Learn about Visual Attention?
Shi Chen, Ming Jiang, Qi Zhao
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
Nicolas Keriven, Samuel Vaiter
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
Hao Sun, Boris van Breugel, Jonathan Crabbé et al.
What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models
Khashayar Gatmiry, Zhiyuan Li, Tengyu Ma et al.
What Knowledge Gets Distilled in Knowledge Distillation?
Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan et al.
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.
Yotam Alexander, Nimrod De La Vega, Noam Razin et al.
What Makes Good Examples for Visual In-Context Learning?
Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
What Planning Problems Can A Relational Neural Network Solve?
Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum et al.
What’s Left? Concept Grounding with Logic-Enhanced Foundation Models
Joy Hsu, Jiayuan Mao, Josh Tenenbaum et al.
What Truly Matters in Trajectory Prediction for Autonomous Driving?
Tran Phong, Haoran Wu, Cunjun Yu et al.
What You See is What You Read? Improving Text-Image Alignment Evaluation
Michal Yarom, Yonatan Bitton, Soravit Changpinyo et al.
When are ensembles really effective?
Ryan Theisen, Hyunsuk Kim, Yaoqing Yang et al.
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality
Jose Blanchet, Haoxuan Chen, Yiping Lu et al.
When Can We Track Significant Preference Shifts in Dueling Bandits?
Joe Suk, Arpit Agarwal
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
Siliang Zeng, Chenliang Li, Alfredo Garcia et al.
When Does Confidence-Based Cascade Deferral Suffice?
Wittawat Jitkrittum, Neha Gupta, Aditya K Menon et al.
When Does Optimizing a Proper Loss Yield Calibration?
Jaroslaw Blasiok, Parikshit Gopalan, Lunjia Hu et al.
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability
Sitao Luan, Chenqing Hua, Minkai Xu et al.
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
Duncan McElfresh, Sujay Khandagale, Jonathan Valverde et al.
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
Tianwei Ni, Michel Ma, Benjamin Eysenbach et al.
When is Agnostic Reinforcement Learning Statistically Tractable?
Zeyu Jia, Gene Li, Alexander Rakhlin et al.
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation
Xinhong Ma, Yiming Wang, Hao Liu et al.
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
Chuanruo Ning, Ruihai Wu, Haoran Lu et al.
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud et al.