Papers
Turing Completeness of Bounded-Precision Recurrent Neural Networks
Stephen Chung, Hava T. Siegelmann
Twice regularized MDPs and the equivalence between robustness and regularization
Esther Derman, Matthieu Geist, Shie Mannor
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu, Zhi Tian, Yuqing Wang et al.
Two-sided fairness in rankings via Lorenz dominance
Virginie Do, Sam Corbett-Davies, Jamal Atif et al.
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Amrith Setlur, Oscar Li, Virginia Smith
Two steps to risk sensitivity
Christopher Gagne, Peter Dayan
UCB-based Algorithms for Multinomial Logistic Regression Bandits
Sanae Amani, Christos Thrampoulidis
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis
Zhu Zhang, Jianxin Ma, Chang Zhou et al.
Ultrahyperbolic Neural Networks
Marc Law
Unadversarial Examples: Designing Objects for Robust Vision
Hadi Salman, Andrew Ilyas, Logan Engstrom et al.
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
Laetitia Chapel, Rémi Flamary, Haoran Wu et al.
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning
Youngkyu Hong, Eunho Yang
Uncertain Decisions Facilitate Better Preference Learning
Cassidy Laidlaw, Stuart J. Russell
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An, Seungyong Moon, Jang-Hyun Kim et al.
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Ruibin Xiong, Yimeng Chen, Liang Pang et al.
Uncertainty-Driven Loss for Single Image Super-Resolution
Qian Ning, Weisheng Dong, Xin Li et al.
Uncertainty Quantification and Deep Ensembles
Rahul Rahaman, alexandre thiery
Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems
Menoua Keshishian, Samuel Norman-Haignere, Nima Mesgarani
Understanding and Improving Early Stopping for Learning with Noisy Labels
Yingbin Bai, Erkun Yang, Bo Han et al.
Understanding Bandits with Graph Feedback
Houshuang Chen, zengfeng Huang, Shuai Li et al.
Understanding Deflation Process in Over-parametrized Tensor Decomposition
Rong Ge, Yunwei Ren, Xiang Wang et al.
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization
Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang et al.
Understanding How Encoder-Decoder Architectures Attend
Kyle Aitken, Vinay Ramasesh, Yuan Cao et al.
Understanding Instance-based Interpretability of Variational Auto-Encoders
Zhifeng Kong, Kamalika Chaudhuri
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu, Yang Zhang, Shiyu Chang et al.