Papers
8,340 papers found
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
Alexander Immer, Tycho F. A. Van Der Ouderaa, Mark Van Der Wilk et al.
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva et al.
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
Minyoung Huh, Brian Cheung, Pulkit Agrawal et al.
Strategic Classification with Unknown User Manipulations
Tosca Lechner, Ruth Urner, Shai Ben-David
Stratified Adversarial Robustness with Rejection
Jiefeng Chen, Jayaram Raghuram, Jihye Choi et al.
Streaming Active Learning with Deep Neural Networks
Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy et al.
Streaming Submodular Maximization with Differential Privacy
Anamay Chaturvedi, Huy Nguyen, Thy Dinh Nguyen
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry et al.
Structural Re-weighting Improves Graph Domain Adaptation
Shikun Liu, Tianchun Li, Yongbin Feng et al.
Structured Cooperative Learning with Graphical Model Priors
Shuangtong Li, Tianyi Zhou, Xinmei Tian et al.
Structure-informed Language Models Are Protein Designers
Zaixiang Zheng, Yifan Deng, Dongyu Xue et al.
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer, Tero Karras, Samuli Laine et al.
Subequivariant Graph Reinforcement Learning in 3D Environments
Runfa Chen, Jiaqi Han, Fuchun Sun et al.
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
Jin-Hong Du, Pratik Patil, Arun K. Kuchibhotla
Subset-Based Instance Optimality in Private Estimation
Travis Dick, Alex Kulesza, Ziteng Sun et al.
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
Niclas Boehmer, L. Elisa Celis, Lingxiao Huang et al.
Superhuman Fairness
Omid Memarrast, Linh Vu, Brian D Ziebart
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization
Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis
Supported Trust Region Optimization for Offline Reinforcement Learning
Yixiu Mao, Hongchang Zhang, Chen Chen et al.
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems
Aaron M Ferber, Taoan Huang, Daochen Zha et al.
Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction
Yuan-Ting Hu, Alex Schwing, Raymond A. Yeh
SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes
Junetae Kim, Kyoungsuk Park, Hanseok Jeong et al.
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
Junyi Zhu, Ruicong Yao, Matthew B. Blaschko