Papers
Safe Interval Path Planning with Kinodynamic Constraints
Zain Alabedeen Ali, Konstantin Yakovlev
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control
Wenlu Du, Junyi Ye, Jingyi Gu et al.
Safe Multi-View Deep Classification
Wei Liu, Yufei Chen, Xiaodong Yue et al.
Safe Policy Improvement for POMDPs via Finite-State Controllers
Thiago D. Simão, Marnix Suilen, Nils Jansen
Safe Reinforcement Learning via Shielding under Partial Observability
Steven Carr, Nils Jansen, Sebastian Junges et al.
Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract)
Briti Gangopadhyay, Pallab Dasgupta, Soumyajit Dey
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers
Xia Zeng, Zhengfeng Yang, Li Zhang et al.
SAH: Shifting-Aware Asymmetric Hashing for Reverse k Maximum Inner Product Search
Qiang Huang, Yanhao Wang, Anthony K. H. Tung
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration
Tom Joy, Francesco Pinto, Ser-Nam Lim et al.
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen et al.
Scalable and Effective Conductance-Based Graph Clustering
Longlong Lin, Ronghua Li, Tao Jia
Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming
Aravinth Chembu, Scott Sanner, Hassan Khurram et al.
Scalable Attributed-Graph Subspace Clustering
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Yilang Zhang, Bingcong Li, Shijian Gao et al.
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health
Kai Wang, Shresth Verma, Aditya Mate et al.
Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs
Mingyu Guo, Max Ward, Aneta Neumann et al.
Scalable Negotiating Agent Strategy via Multi-Issue Policy Network (Student Abstract)
Takumu Shimizu, Ryota Higa, Toki Takahashi et al.
Scalable Optimal Multiway-Split Decision Trees with Constraints
Shivaram Subramanian, Wei Sun
Scalable Spatial Memory for Scene Rendering and Navigation
Wen-Cheng Chen, Chu-Song Chen, Wei-Chen Chiu et al.
Scalable Spatiotemporal Graph Neural Networks
Andrea Cini, Ivan Marisca, Filippo Maria Bianchi et al.
Scalable Theory-Driven Regularization of Scene Graph Generation Models
Davide Buffelli, Efthymia Tsamoura
Scaling Law for Recommendation Models: Towards General-Purpose User Representations
Kyuyong Shin, Hanock Kwak, Su Young Kim et al.
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
Brahma S. Pavse, Josiah P. Hanna