Papers
11,015 papers found
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli et al.
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods
Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
Seanie Lee, Hae Beom Lee, Juho Lee 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.