Papers
Selective Network Linearization for Efficient Private Inference
Minsu Cho, Ameya Joshi, Brandon Reagen et al.
Selective Regression under Fairness Criteria
Abhin Shah, Yuheng Bu, Joshua K Lee et al.
Self-conditioning Pre-Trained Language Models
Xavier Suau Cuadros, Luca Zappella, Nicholas Apostoloff
Self-Organized Polynomial-Time Coordination Graphs
Qianlan Yang, Weijun Dong, Zhizhou Ren et al.
Self-supervised learning with random-projection quantizer for speech recognition
Chung-Cheng Chiu, James Qin, Yu Zhang et al.
Self-supervised Models are Good Teaching Assistants for Vision Transformers
Haiyan Wu, Yuting Gao, Yinqi Zhang et al.
Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech
Aditya R Vaidya, Shailee Jain, Alexander Huth
Self-Supervised Representation Learning via Latent Graph Prediction
Yaochen Xie, Zhao Xu, Shuiwang Ji
Selling Data To a Machine Learner: Pricing via Costly Signaling
Junjie Chen, Minming Li, Haifeng Xu
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound
Shion Takeno, Tomoyuki Tamura, Kazuki Shitara et al.
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
Sooyong Jang, Sangdon Park, Insup Lee et al.
Set Based Stochastic Subsampling
Bruno Andreis, Seanie Lee, A. Tuan Nguyen et al.
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
Lily Zhang, Veronica Tozzo, John Higgins et al.
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood
Qiujiang Jin, Alec Koppel, Ketan Rajawat et al.
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
Momin Abbas, Quan Xiao, Lisha Chen et al.
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
Haoran You, Baopu Li, Shi Huihong et al.
Short-Term Plasticity Neurons Learning to Learn and Forget
Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
Vladislav Kurenkov, Sergey Kolesnikov
Shuffle Private Linear Contextual Bandits
Sayak Ray Chowdhury, Xingyu Zhou
Simple and near-optimal algorithms for hidden stratification and multi-group learning
Christopher J Tosh, Daniel Hsu
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
Siqi Liu, Marc Lanctot, Luke Marris et al.
Simultaneous Graph Signal Clustering and Graph Learning
Abdullah Karaaslanli, Selin Aviyente
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
Fang Kong, Yichi Zhou, Shuai Li
Sketching Algorithms and Lower Bounds for Ridge Regression
Praneeth Kacham, David Woodruff
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks
Xiang Xu, Karl D.D. Willis, Joseph G Lambourne et al.