Papers
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm
Mingkang Zhu, Tianlong Chen, Zhangyang Wang
Sparse Bayesian Learning via Stepwise Regression
Sebastian E. Ament, Carla P. Gomes
SparseBERT: Rethinking the Importance Analysis in Self-attention
Han Shi, Jiahui Gao, Xiaozhe Ren et al.
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
Botao Hao, Yaqi Duan, Tor Lattimore et al.
Sparse within Sparse Gaussian Processes using Neighbor Information
Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi et al.
Sparsifying Networks via Subdifferential Inclusion
Sagar Verma, Jean-Christophe Pesquet
Sparsity-Agnostic Lasso Bandit
Min-Hwan Oh, Garud Iyengar, Assaf Zeevi
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective
Florin Gogianu, Tudor Berariu, Mihaela C Rosca et al.
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders
Adeel Pervez, Efstratios Gavves
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs
Chunjiang Zhu, Qinqing Liu, Jinbo Bi
SPECTRE: defending against backdoor attacks using robust statistics
Jonathan Hayase, Weihao Kong, Raghav Somani et al.
SpreadsheetCoder: Formula Prediction from Semi-structured Context
Xinyun Chen, Petros Maniatis, Rishabh Singh et al.
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
Vien V. Mai, Mikael Johansson
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
Yunwen Lei, Zhenhuan Yang, Tianbao Yang et al.
Stabilizing Equilibrium Models by Jacobian Regularization
Shaojie Bai, Vladlen Koltun, Zico Kolter
State Entropy Maximization with Random Encoders for Efficient Exploration
Younggyo Seo, Lili Chen, Jinwoo Shin et al.
State Relevance for Off-Policy Evaluation
Simon P Shen, Yecheng Ma, Omer Gottesman et al.
Statistical Estimation from Dependent Data
Vardis Kandiros, Yuval Dagan, Nishanth Dikkala et al.
Stochastic Iterative Graph Matching
Linfeng Liu, Michael C Hughes, Soha Hassoun et al.
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
Tal Lancewicki, Shahar Segal, Tomer Koren et al.
Stochastic Sign Descent Methods: New Algorithms and Better Theory
Mher Safaryan, Peter Richtarik
Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation
Xiang Lin, Simeng Han, Shafiq Joty
Strategic Classification in the Dark
Ganesh Ghalme, Vineet Nair, Itay Eilat et al.
Strategic Classification Made Practical
Sagi Levanon, Nir Rosenfeld
Streaming and Distributed Algorithms for Robust Column Subset Selection
Shuli Jiang, Dennis Li, Irene Mengze Li et al.