Papers
Selective Test-Time Debiasing for CLIP via Reward Gating
Jaeho Han, Jisoo Yang, Hyeondong Woo et al.
Selective Weak-to-Strong Generalization
Hao Lang, Fei Huang, Yongbin Li
SELENE: Selective and Evidence-Weighted LLM Debating for Efficient and Reliable Reasoning
Akshay Verma, Swapnil Gupta, Deepak Gupta et al.
Self-Adaptive Graph Mixture of Models
Mohit Meena, Yash Punjabi, Abhishek A et al.
Self-Correction Distillation for Structured Data Question Answering
Yushan Zhu, Wen Zhang, Long Jin et al.
Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency
Zihan Li, Wei Sun, Jing Hu et al.
Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective Generation
Ning Wang, Zhanyang Liu, Taotao Zhou et al.
Self-Guided Planning and Repair Framework for Code Generation (Student Abstract)
Chun-Wei Kang, Chung-Chi Chen, An-Zi Yen
Self-Improving Sparse Retrieval Through Heuristic Representation Refinement and Representation-Focused Learning
Xiaojing Li, Bin Wang, Xiaochun Yang et al.
Self-Indexing KVCache: Predicting Sparse Attention from Compressed Keys
Xu Yang, Jiapeng Zhang, Dongyang Zhao et al.
Self-Interpretable Subgraph Neural Network with Deep Reinforcement Walk Exploration
Jianming Huang, Hiroyuki Kasai
Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning
Fu-Yun Wang, Keqiang Sun, Yao Teng et al.
Self-Reflective Generation at Test Time
Jian Mu, Qixin Zhang, Zhiyong Wang et al.
Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks
Ankit Bhardwaj, Rohail Asim, Sachin Kumar Chauhan et al.
Self-SoftCoT: A Self-Consistent Framework via Position-Aware Latent Space Reinforcement Learning
Liangliang Dong, Lianlei Shan, Shuaimin Li
Self-Supervised Compression and Artifact Correction for Streaming Underwater Imaging Sonar
Rongsheng Qian, Chi Xu, Xiaoqiang Ma et al.
Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
Meixia Wang, Yuhai Zhao, Zhengkui Wang et al.
Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning
Yanwei Yu, Hong Xia, Shaoxuan Gu et al.
Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction
Ming Li, Huiting Wang, Yuting Chen et al.
Self-Supervised Inductive Logic Programming
Stassa Patsantzis
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation
Qin Wang, Alessio Quercia, Benjamin Bruns et al.
Self-supervised Multiplex Consensus Mamba for General Image Fusion
Yingying Wang, Rongjin Zhuang, Hui Zheng et al.
Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
Shaoguang Huang, Yunzhen Wang, Haijin Zeng et al.
Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection
Haoran Zhu, Zhenyuan Dong, Kristi Topollai et al.
Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection
Xi Xiao, Zhuxuanzi Wang, Mingqiao Mo et al.