Papers
11,955 papers found
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Andy Zeng, Maria Attarian, brian ichter et al.
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
Zhuoyan Luo, Yicheng Xiao, Yong Liu et al.
Softened Symbol Grounding for Neuro-symbolic Systems
Zenan Li, Yuan Yao, Taolue Chen et al.
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning
Hao Chen, Ran Tao, Yue Fan et al.
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Chongjian GE, Jiangliu Wang, Zhan Tong et al.
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments
Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg et al.
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Xidong Wu, Jianhui Sun, Zhengmian Hu et al.
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
Tong Yang, Michael Jordan, Tatjana Chavdarova
Solving Continuous Control via Q-learning
Tim Seyde, Peter Werner, Wilko Schwarting et al.
Solving Quantum-Inspired Perfect Matching Problems via Tutte-Theorem-Based Hybrid Boolean Constraints
Moshe Y. Vardi, Zhiwei Zhang
Solving stochastic weak Minty variational inequalities without increasing batch size
Thomas Pethick, Olivier Fercoq, Puya Latafat et al.
Sorting and Hypergraph Orientation under Uncertainty with Predictions
Thomas Erlebach, Murilo de Lima, Nicole Megow et al.
Sound Randomized Smoothing in Floating-Point Arithmetic
Vaclav Voracek, Matthias Hein
SP2 : A Second Order Stochastic Polyak Method
Shuang Li, William Joseph Swartworth, Martin Takáč et al.
Spacetime Representation Learning
Marc T. Law, James Lucas
Sparse Distributed Memory is a Continual Learner
Trenton Bricken, Xander Davies, Deepak Singh et al.
Sparse Mixture-of-Experts are Domain Generalizable Learners
Bo Li, Yifei Shen, Jingkang Yang et al.
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
Tianlong Chen, Zhenyu Zhang, AJAY KUMAR JAISWAL et al.
Sparse Random Networks for Communication-Efficient Federated Learning
Berivan Isik, Francesco Pase, Deniz Gunduz et al.
Sparse Token Transformer with Attention Back Tracking
Heejun Lee, Minki Kang, Youngwan Lee et al.
Sparse tree-based Initialization for Neural Networks
Patrick Lutz, Ludovic Arnould, Claire Boyer et al.
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp et al.
Sparsity-Constrained Optimal Transport
Tianlin Liu, Joan Puigcerver, Mathieu Blondel
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Shiwei Liu, Tianlong Chen, Zhenyu Zhang et al.
Spatial Attention Kinetic Networks with E(n)-Equivariance
Yuanqing Wang, John Chodera