Papers
Transformed Distribution Matching for Missing Value Imputation
He Zhao, Ke Sun, Amir Dezfouli et al.
Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization
Chanyeong Kim, Jongwoong Park, Hyunglip Bae et al.
Transformers as Algorithms: Generalization and Stability in In-context Learning
Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos et al.
Transformers Learn In-Context by Gradient Descent
Johannes Von Oswald, Eyvind Niklasson, Ettore Randazzo et al.
Transformers Meet Directed Graphs
Simon Geisler, Yujia Li, Daniel J Mankowitz et al.
Trapdoor Normalization with Irreversible Ownership Verification
Hanwen Liu, Zhenyu Weng, Yuesheng Zhu et al.
Traversing Between Modes in Function Space for Fast Ensembling
Eunggu Yun, Hyungi Lee, Giung Nam et al.
Trompt: Towards a Better Deep Neural Network for Tabular Data
Kuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou et al.
Truncating Trajectories in Monte Carlo Reinforcement Learning
Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
Haoxuan Li, Chunyuan Zheng, Yixiao Cao et al.
Tuning Computer Vision Models With Task Rewards
André Susano Pinto, Alexander Kolesnikov, Yuge Shi et al.
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng, Martin Michalski, Jiaxin Huang et al.
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy
Blake Woodworth, Konstantin Mishchenko, Francis Bach
UMD: Unsupervised Model Detection for X2X Backdoor Attacks
Zhen Xiang, Zidi Xiong, Bo Li
Uncertain Evidence in Probabilistic Models and Stochastic Simulators
Andreas Munk, Alexander Mead, Frank Wood
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
Danruo Deng, Guangyong Chen, Yang Yu et al.
Uncertainty Estimation for Molecules: Desiderata and Methods
Tom Wollschläger, Nicholas Gao, Bertrand Charpentier et al.
Unconstrained Online Learning with Unbounded Losses
Andrew Jacobsen, Ashok Cutkosky
Uncovering Adversarial Risks of Test-Time Adaptation
Tong Wu, Feiran Jia, Xiangyu Qi et al.
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson et al.
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining
Chengyu Dong, Liyuan Liu, Hao Cheng et al.
Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer
Liang Liu, Yanan Guo, Youtao Zhang et al.
Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective
Liangliang Shi, Gu Zhang, Haoyu Zhen et al.
Understanding Backdoor Attacks through the Adaptability Hypothesis
Xun Xian, Ganghua Wang, Jayanth Srinivasa et al.