Papers
11,015 papers found
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
David Bieber, Rishab Goel, Dan Zheng et al.
Statistical Efficiency of Score Matching: The View from Isoperimetry
Frederic Koehler, Alexander Heckett, Andrej Risteski
Statistical Guarantees for Consensus Clustering
Zhixin Zhou, Gautam Dudeja, Arash A Amini
Statistical Inference for Fisher Market Equilibrium
Luofeng Liao, Yuan Gao, Christian Kroer
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
Ximing Li, Chendi Wang, Guang Cheng
Stay Moral and Explore: Learn to Behave Morally in Text-based Games
Zijing Shi, Meng Fang, Yunqiu Xu et al.
Stochastic Differentially Private and Fair Learning
Andrew Lowy, Devansh Gupta, Meisam Razaviyayn
Stochastic Multi-Person 3D Motion Forecasting
Sirui Xu, Yu-Xiong Wang, Liangyan Gui
Stochastic No-regret Learning for General Games with Variance Reduction
Yichi Zhou, Fang Kong, Shuai Li
Strategic Classification with Graph Neural Networks
Itay Eilat, Ben Finkelshtein, Chaim Baskin et al.
STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK
Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma et al.
Strong inductive biases provably prevent harmless interpolation
Michael Aerni, Marco Milanta, Konstantin Donhauser et al.
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training
Yuechen Yu, Yulin Li, Chengquan Zhang et al.
Structure by Architecture: Structured Representations without Regularization
Felix Leeb, Giulia Lanzillotta, Yashas Annadani et al.
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam, Jihoon Tack, Kyungmin Lee et al.
StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN
Eric-Tuan Le, Edward Bartrum, Iasonas Kokkinos
Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation
Ainesh Bakshi, Piotr Indyk, Praneeth Kacham et al.
Subsampling in Large Graphs Using Ricci Curvature
Shushan Wu, Huimin Cheng, Jiazhang Cai et al.
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
Noam Wies, Yoav Levine, Amnon Shashua
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
Swarnadeep Saha, Shiyue Zhang, Peter Hase et al.
Supervision Complexity and its Role in Knowledge Distillation
Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon et al.
Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation
Zhengdong Hu, Yifan Sun, Yi Yang
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee, Annie S Chen, Fahim Tajwar et al.
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
Marco Bornstein, Tahseen Rabbani, Evan Z Wang et al.