Papers
SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image
Yankai Jiang, Ke Xu, Xinyue Wang et al.
Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method
Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar et al.
Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract)
Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise
Perspective for Medical Image Segmentation
Huimin Huang, Shiao Xie, Lanfen Lin et al.
Scheduling with Untrusted Predictions
Evripidis Bampis, Konstantinos Dogeas, Alexander Kononov et al.
SCMT: Self-Correction Mean Teacher for Semi-supervised Object Detection
Feng Xiong, Jiayi Tian, Zhihui Hao et al.
Search-based Reinforcement Learning through Bandit Linear Optimization
Milan Peelman, Antoon Bronselaer, Guy De Tré
Search-Based Testing of Reinforcement Learning
Martin Tappler, Filip Cano Córdoba, Bernhard K. Aichernig et al.
Searching for Optimal Subword Tokenization in Cross-domain NER
Ruotian Ma, Yiding Tan, Xin Zhou et al.
Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data
Mark Law, Krysia Broda, Alessandra Russo
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
Yangdi Lu, Wenbo He
Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification
Dongdong Li, Zhigang Wang, Jian Wang et al.
Self-paced Supervision for Multi-source Domain Adaptation
Zengmao Wang, Chaoyang Zhou, Bo Du et al.
Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning
Kyungsoo Kim, Jeongsoo Ha, Yusung Kim
Self-supervised Graph Neural Networks for Multi-behavior Recommendation
Shuyun Gu, Xiao Wang, Chuan Shi et al.
Self-supervised Learning and Adaptation for Single Image Dehazing
Yudong Liang, Bin Wang, Wangmeng Zuo et al.
Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data
Harim Lee, Eunseon Seong, Dong-Kyu Chae
Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera
Shiyan Chen, Chaoteng Duan, Zhaofei Yu et al.
Self-supervised Semantic Segmentation Grounded in Visual Concepts
Wenbin He, William Surmeier, Arvind Kumar Shekar et al.
Semantic Compression Embedding for Generative Zero-Shot Learning
Ziming Hong, Shiming Chen, Guo-Sen Xie et al.
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations
Sangwon Seo, Vaibhav V. Unhelkar
Sequential Vaccine Allocation with Delayed Feedback
Yichen Xiao, Han-Ching Ou, Haipeng Chen et al.
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction
Mateusz Jurewicz, Leon Derczynski
SGAT: Simplicial Graph Attention Network
See Hian Lee, Feng Ji, Wee Peng Tay