Papers
S3GC: Scalable Self-Supervised Graph Clustering
Fnu Devvrit, Aditya Sinha, Inderjit S. Dhillon et al.
S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces
Eric Nguyen, Karan Goel, Albert Gu et al.
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
Chejian Xu, Wenhao Ding, Weijie Lyu et al.
Safe Opponent-Exploitation Subgame Refinement
Mingyang Liu, Chengjie Wu, Qihan Liu et al.
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
Rayan Mazouz, Karan Muvvala, Akash Ratheesh Babu et al.
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning
Haibo Yang, Zhuqing Liu, Xin Zhang et al.
SageMix: Saliency-Guided Mixup for Point Clouds
Sanghyeok Lee, Minkyu Jeon, Injae Kim et al.
Saliency-Aware Neural Architecture Search
Ramtin Hosseini, Pengtao Xie
SALSA: Attacking Lattice Cryptography with Transformers
Emily Wenger, Mingjie Chen, Francois Charton et al.
Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search
Shinsaku Sakaue, Taihei Oki
Sample Constrained Treatment Effect Estimation
Raghavendra Addanki, David Arbour, Tung Mai et al.
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization
Wenhao Gao, Tianfan Fu, Jimeng Sun et al.
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games
Ziang Song, Song Mei, Yu Bai
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
Qinghua Liu, Csaba Szepesvari, Chi Jin
Sample-Then-Optimize Batch Neural Thompson Sampling
Zhongxiang Dai, YAO SHU, Bryan Kian Hsiang Low et al.
Sampling from Log-Concave Distributions with Infinity-Distance Guarantees
Oren Mangoubi, Nisheeth Vishnoi
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent
Ruqi Zhang, Qiang Liu, Xin Tong
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
Aniket Das, Bernhard Schölkopf, Michael Muehlebach
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
Yunbum Kook, Yin-Tat Lee, Ruoqi Shen et al.
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
Mark Boss, Andreas Engelhardt, Abhishek Kar et al.
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
Hao Lu, Wenze Liu, Zixuan Ye et al.
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
Xuan Zhang, Necdet Serhat Aybat, Mert Gurbuzbalaban
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training
Yangrui Chen, Cong Xie, Meng Ma et al.
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Yezhen Cong, Samar Khanna, Chenlin Meng et al.
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
Gamaleldin Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste et al.