Papers
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.
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
Peter Bevan, Amir Atapour-Abarghouei
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
Zhengfeng Lai, Chao Wang, Henrry Gunawan et al.
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
Vidyashankar Sivakumar, Shiliang Zuo, Arindam Banerjee
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Dongjun Kim, Seungjae Shin, Kyungwoo Song et al.
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation
Jiali Wang, Wen Huang, Rujun Jiang et al.
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
Dani Kiyasseh, Tingting Zhu, David A Clifton
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion
Xinrui Zu, Qian Tao
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Zheng He, Zeke Xie, Quanzhi Zhu et al.
Sparse Invariant Risk Minimization
Xiao Zhou, Yong Lin, Weizhong Zhang et al.
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
Adarsh Barik, Jean Honorio