Papers
Scaling Up Ordinal Embedding: A Landmark Approach
Jesse Anderton, Javed Aslam
Screening rules for Lasso with non-convex Sparse Regularizers
Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
Yonatan Geifman, Ran El-Yaniv
Self-Attention Generative Adversarial Networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas et al.
Self-Attention Graph Pooling
Junhyun Lee, Inyeop Lee, Jaewoo Kang
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning
Hwanjun Song, Minseok Kim, Jae-Gil Lee
Self-similar Epochs: Value in arrangement
Eliav Buchnik, Edith Cohen, Avinatan Hasidim et al.
Self-Supervised Exploration via Disagreement
Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta
Semi-Cyclic Stochastic Gradient Descent
Hubert Eichner, Tomer Koren, Brendan Mcmahan et al.
Sensitivity Analysis of Linear Structural Causal Models
Carlos Cinelli, Daniel Kumor, Bryant Chen et al.
Separating value functions across time-scales
Joshua Romoff, Peter Henderson, Ahmed Touati et al.
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee, Yoonho Lee, Jungtaek Kim et al.
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas, Gautam Kamath, Daniel Kane et al.
SGD: General Analysis and Improved Rates
Robert Mansel Gower, Nicolas Loizou, Xun Qian et al.
SGD without Replacement: Sharper Rates for General Smooth Convex Functions
Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking
Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras
Shape Constraints for Set Functions
Andrew Cotter, Maya Gupta, Heinrich Jiang et al.
Similarity of Neural Network Representations Revisited
Simon Kornblith, Mohammad Norouzi, Honglak Lee et al.
Simple Black-box Adversarial Attacks
Chuan Guo, Jacob Gardner, Yurong You et al.
Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization
Michael Metel, Akiko Takeda
Simplifying Graph Convolutional Networks
Felix Wu, Amauri Souza, Tianyi Zhang et al.
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
Antoine Liutkus, Umut Simsekli, Szymon Majewski et al.
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
Natasha Jaques, Angeliki Lazaridou, Edward Hughes et al.
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
Marvin Zhang, Sharad Vikram, Laura Smith et al.