Papers
RZCR: Zero-shot Character Recognition via Radical-based Reasoning
Xiaolei Diao, Daqian Shi, Hao Tang et al.
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
Sheng Tian, Jihai Dong, Jintang Li et al.
Safe Multi-agent Learning via Trapping Regions
Aleksander Czechowski, Frans A. Oliehoek
Safe Reinforcement Learning via Probabilistic Logic Shields
Wen-Chi Yang, Giuseppe Marra, Gavin Rens et al.
Safety Verification and Universal Invariants for Relational Action Bases
Silvio Ghilardi, Alessandro Gianola, Marco Montali et al.
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract)
Radu Ciucanu, Pascal Lafourcade, Gael Marcadet et al.
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees
Daqian Shao, Marta Kwiatkowska
Sampling Ex-Post Group-Fair Rankings
Sruthi Gorantla, Amit Deshpande, Anand Louis
Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract)
Jingshu Peng, Zhao Chen, Yingxia Shao et al.
SAT-Based PAC Learning of Description Logic Concepts
Balder ten Cate, Maurice Funk, Jean Christoph Jung et al.
SAT Encodings for Pseudo-Boolean Constraints Together With At-Most-One Constraints (Extended Abstract)
Miquel Bofill, Jordi Coll, Peter Nightingale et al.
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism
Xudong Guo, Daming Shi, Wenhui Fan
Scalable Coupling of Deep Learning with Logical Reasoning
Marianne Defresne, Sophie Barbe, Thomas Schiex
Scalable Optimal Margin Distribution Machine
Yilin Wang, Nan Cao, Teng Zhang et al.
Scalable Verification of Strategy Logic through Three-Valued Abstraction
Francesco Belardinelli, Angelo Ferrando, Wojciech Jamroga et al.
Scaling Goal-based Exploration via Pruning Proto-goals
Akhil Bagaria, Tom Schaul
Schelling Games with Continuous Types
Davide Bilò, Vittorio Bilò, Michelle Döring et al.
ScriptWorld: Text Based Environment for Learning Procedural Knowledge
Abhinav Joshi, Areeb Ahmad, Umang Pandey et al.
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning
Asadullah Hill Galib, Andrew McDonald, Pang-Ning Tan et al.
Self-supervised Graph Disentangled Networks for Review-based Recommendation
Yuyang Ren, Haonan Zhang, Qi Li et al.
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning
Yinda Chen, Wei Huang, Shenglong Zhou et al.
Semantic-Aware Generation of Multi-View Portrait Drawings
Biao Ma, Fei Gao, Chang Jiang et al.
SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code
Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana et al.
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein–Protein Interaction Prediction
Ziyuan Zhao, Peisheng Qian, Xulei Yang et al.