Papers
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
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Jintang Li, Zhouxin Yu, Zulun Zhu et al.
ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges
Ruizhe Zheng, Jun Li, Yi Wang et al.
Scene Graph to Image Synthesis via Knowledge Consensus
Yang Wu, Pengxu Wei, Liang Lin
Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision
Ce Ge, Jingyu Wang, Qi Qi et al.
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data
Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng et al.
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian et al.
Scratch for Sports: Athletic Drills as a Platform for Experiencing, Understanding, and Developing AI-Driven Apps
Vishesh Kumar, Marcelo Worsley
Script, Language, and Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization
Jaeseong Lee, Dohyeon Lee, Seung-won Hwang
SEAT: Stable and Explainable Attention
Lijie Hu, Yixin Liu, Ninghao Liu et al.