Papers
8,340 papers found
Sequential Underspecified Instrument Selection for Cause-Effect Estimation
Elisabeth Ailer, Jason Hartford, Niki Kilbertus
Set-membership Belief State-based Reinforcement Learning for POMDPs
Wei Wei, Lijun Zhang, Lin Li et al.
Settling the Reward Hypothesis
Michael Bowling, John D Martin, David Abel et al.
SGD with Large Step Sizes Learns Sparse Features
Maksym Andriushchenko, Aditya Vardhan Varre, Loucas Pillaud-Vivien et al.
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection
Yu-Min Chu, Chieh Liu, Ting-I Hsieh et al.
Shapley Based Residual Decomposition for Instance Analysis
Tommy Liu, Amanda S Barnard
Sharper Bounds for $\ell_p$ Sensitivity Sampling
David Woodruff, Taisuke Yasuda
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments
Runlong Zhou, Zhang Zihan, Simon Shaolei Du
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy et al.
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation
Matthew Raffel, Drew Penney, Lizhong Chen
Short-lived High-volume Bandits
Su Jia, Nishant Oli, Ian Anderson et al.
Simple and Fast Group Robustness by Automatic Feature Reweighting
Shikai Qiu, Andres Potapczynski, Pavel Izmailov et al.
simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom, Jonathan Heek, Tim Salimans
Simple Disentanglement of Style and Content in Visual Representations
Lilian Ngweta, Subha Maity, Alex Gittens et al.
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
Evan Zheran Liu, Sahaana Suri, Tong Mu et al.
Simple Hardware-Efficient Long Convolutions for Sequence Modeling
Daniel Y Fu, Elliot L Epstein, Eric Nguyen et al.
Simplex Random Features
Isaac Reid, Krzysztof Marcin Choromanski, Valerii Likhosherstov et al.
Simplified Temporal Consistency Reinforcement Learning
Yi Zhao, Wenshuai Zhao, Rinu Boney et al.
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
Wu Lin, Valentin Duruisseaux, Melvin Leok et al.
SinDDM: A Single Image Denoising Diffusion Model
Vladimir Kulikov, Shahar Yadin, Matan Kleiner et al.
SinFusion: Training Diffusion Models on a Single Image or Video
Yaniv Nikankin, Niv Haim, Michal Irani
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
Elissa Mhanna, Mohamad Assaad
Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition
Dongqi Cai, Yangyuxuan Kang, Anbang Yao et al.