Papers
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.
Streaming Bayesian Deep Tensor Factorization
Shikai Fang, Zheng Wang, Zhimeng Pan et al.
STRODE: Stochastic Boundary Ordinary Differential Equation
Hengguan Huang, Hongfu Liu, Hao Wang et al.
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Yassine Yaakoubi, Francois Soumis, Simon Lacoste-Julien
Structured World Belief for Reinforcement Learning in POMDP
Gautam Singh, Skand Peri, Junghyun Kim et al.
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
Georgios Amanatidis, Federico Fusco, Philip Lazos et al.
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee, Michael Laskin, Aravind Srinivas et al.
Supervised Tree-Wasserstein Distance
Yuki Takezawa, Ryoma Sato, Makoto Yamada
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
Federico Lopez, Beatrice Pozzetti, Steve Trettel et al.
Synthesizer: Rethinking Self-Attention for Transformer Models
Yi Tay, Dara Bahri, Donald Metzler et al.
Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures
Martijn M Gösgens, Alexey Tikhonov, Liudmila Prokhorenkova