Papers
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
Yujia Jin, Aaron Sidford
Towards Understanding and Mitigating Social Biases in Language Models
Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency et al.
Towards Understanding Learning in Neural Networks with Linear Teachers
Roei Sarussi, Alon Brutzkus, Amir Globerson
Tractable structured natural-gradient descent using local parameterizations
Wu Lin, Frank Nielsen, Khan Mohammad Emtiyaz et al.
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
Ozan Özdenizci, Robert Legenstein
Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze et al.
Training Data Subset Selection for Regression with Controlled Generalization Error
Durga S, Rishabh Iyer, Ganesh Ramakrishnan et al.
Training Graph Neural Networks with 1000 Layers
Guohao Li, Matthias Müller, Bernard Ghanem et al.
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
Burak Bartan, Mert Pilanci
Training Recurrent Neural Networks via Forward Propagation Through Time
Anil Kag, Venkatesh Saligrama
Train simultaneously, generalize better: Stability of gradient-based minimax learners
Farzan Farnia, Asuman Ozdaglar
Trajectory Diversity for Zero-Shot Coordination
Andrei Lupu, Brandon Cui, Hengyuan Hu et al.
Transfer-Based Semantic Anomaly Detection
Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen et al.
Trees with Attention for Set Prediction Tasks
Roy Hirsch, Ran Gilad-Bachrach
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
Jiaye Teng, Zeren Tan, Yang Yuan
Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination
Wenbo Zheng, Lan Yan, Chao Gou et al.
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
Romain Couillet, Florent Chatelain, Nicolas Le Bihan
UCB Momentum Q-learning: Correcting the bias without forgetting
Pierre Menard, Omar Darwiche Domingues, Xuedong Shang et al.
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras, Thibault Sejourne, Rémi Flamary et al.
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
Paul Vicol, Luke Metz, Jascha Sohl-Dickstein
Uncertainty Principles of Encoding GANs
Ruili Feng, Zhouchen Lin, Jiapeng Zhu et al.
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Yue Wu, Shuangfei Zhai, Nitish Srivastava et al.
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
Kaizhao Liang, Jacky Y Zhang, Boxin Wang et al.
Understanding and Mitigating Accuracy Disparity in Regression
Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon et al.