Papers
11,951 papers found
Set-based Meta-Interpolation for Few-Task Meta-Learning
Seanie Lee, Bruno Andreis, Kenji Kawaguchi et al.
SGD Can Converge to Local Maxima
Liu Ziyin, Botao Li, James B Simon et al.
Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions
Moise Blanchard, Mohammed Amine Bennouna
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
Zaccharie Ramzi, Florian Mannel, Shaojie Bai et al.
Should I Run Offline Reinforcement Learning or Behavioral Cloning?
Aviral Kumar, Joey Hong, Anikait Singh et al.
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative
Lucio M. Dery, Paul Michel, Ameet Talwalkar et al.
Shuffle Private Stochastic Convex Optimization
Albert Cheu, Matthew Joseph, Jieming Mao et al.
Signing the Supermask: Keep, Hide, Invert
Nils Koster, Oliver Grothe, Achim Rettinger
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
Jonathan Godwin, Michael Schaarschmidt, Alexander L Gaunt et al.
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Zirui Wang, Jiahui Yu, Adams Wei Yu et al.
SketchODE: Learning neural sketch representation in continuous time
Ayan Das, Yongxin Yang, Timothy Hospedales et al.
Skill-based Meta-Reinforcement Learning
Taewook Nam, Shao-Hua Sun, Karl Pertsch et al.
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song, Liyue Shen, Lei Xing et al.
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
Manuel Nonnenmacher, Thomas Pfeil, Ingo Steinwart et al.
Sound Adversarial Audio-Visual Navigation
Yinfeng Yu, Wenbing Huang, Fuchun Sun et al.
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees
Feisi Fu, Wenchao Li
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood, Ian Mason, Chris Williams et al.
Space-Time Graph Neural Networks
Samar Hadou, Charilaos I Kanatsoulis, Alejandro Ribeiro
Spanning Tree-based Graph Generation for Molecules
Sungsoo Ahn, Binghong Chen, Tianzhe Wang et al.
Sparse Attention with Learning to Hash
Zhiqing Sun, Yiming Yang, Shinjae Yoo
Sparse Communication via Mixed Distributions
António Farinhas, Wilker Aziz, Vlad Niculae et al.
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity
Byungseok Roh, JaeWoong Shin, Wuhyun Shin et al.
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen, Zhenyu Zhang, pengjun wang et al.
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
Yulun Wu, Nicholas Choma, Andrew Deru Chen et al.
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
Yandong Wen, Weiyang Liu, Adrian Weller et al.