Papers
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Humam Alwassel, Dhruv Mahajan, Bruno Korbar et al.
Self-supervised learning through the eyes of a child
Emin Orhan, Vaibhav Gupta, Brenden M Lake
Self-Supervised MultiModal Versatile Networks
Jean-Baptiste Alayrac, Adria Recasens, Rosalia Schneider et al.
Self-Supervised Relational Reasoning for Representation Learning
Massimiliano Patacchiola, Amos J. Storkey
Self-Supervised Relationship Probing
Jiuxiang Gu, Jason Kuen, Shafiq Joty et al.
Self-Supervised Visual Representation Learning from Hierarchical Grouping
Xiao Zhang, Michael Maire
Self-training Avoids Using Spurious Features Under Domain Shift
Yining Chen, Colin Wei, Ananya Kumar et al.
Semantic Visual Navigation by Watching YouTube Videos
Matthew Chang, Arjun Gupta, Saurabh Gupta
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks
Tong Chen, Jean B Lasserre, Victor Magron et al.
Semi-Supervised Neural Architecture Search
Renqian Luo, Xu Tan, Rui Wang et al.
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
Wei Wang, Min-Ling Zhang
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
Victor Veitch, Anisha Zaveri
Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals
Jing Shi, Xuankai Chang, Pengcheng Guo et al.
Sequential Bayesian Experimental Design with Variable Cost Structure
Sue Zheng, David Hayden, Jason Pacheco et al.
Set2Graph: Learning Graphs From Sets
Hadar Serviansky, Nimrod Segol, Jonathan Shlomi et al.
SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology
Mark Veillette, Siddharth Samsi, Chris Mattioli
SGD with shuffling: optimal rates without component convexity and large epoch requirements
Kwangjun Ahn, Chulhee Yun, Suvrit Sra
ShapeFlow: Learnable Deformation Flows Among 3D Shapes
Chiyu Jiang, Jingwei Huang, Andrea Tagliasacchi et al.
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
Filippos Christianos, Lukas Schäfer, Stefano Albrecht
Shared Space Transfer Learning for analyzing multi-site fMRI data
Tony Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang et al.
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti et al.
Sharper Generalization Bounds for Pairwise Learning
Yunwen Lei, Antoine Ledent, Marius Kloft
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth
Guy Bresler, Dheeraj Nagaraj
Sharp uniform convergence bounds through empirical centralization
Cyrus Cousins, Matteo Riondato
ShiftAddNet: A Hardware-Inspired Deep Network
Haoran You, Xiaohan Chen, Yongan Zhang et al.