Papers
16 papers found
Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection
Heechul Lim, Min-Soo Kim, Hyun-Boo Lee et al.
Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension
Lin Li, Wei Chen, Jiahui Li et al.
EchoGen: Cycle-Consistent Learning for Unified Layout-Image Generation and Understanding
Kai Zou, Hongbo Liu, Dian Zheng et al.
UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
Zhiqiang Liu, Yin Hua, Mingyang Chen et al.
FUSE: Fine-Grained and Semantic-Aware Learning for Unified Image Understanding and Generation
Peng Zhang, Wanggui He, Mushui Liu et al.
USPR: Learning a Unified Solver for Profiled Routing
Chuanbo Hua, Federico Berto, Zhikai Zhao et al.
Unified Interaction Consistency Learning for Single-Source Domain-Generalized Object Detection in Urban Scene
Peng Zhang, Xiang Yuan, Gong Cheng
UNO! UNified Offline Training Paradigm for Learning Path Recommendation
Linzhi Peng, Wentao Zhu, Ke Cheng et al.
Learning Unified Spatio-temporal Representations for Efficient Compressed Video Understanding
Shristi Das Biswas, Efstathia Soufleri, Arani Roy et al.
A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication
Angelo Rodio, Giovanni Neglia, Zheng Chen et al.
RegionAligner: Bridging Ego-Exo Views for Object Correspondence via Unified Text-Visual Learning
Yuhao Su, Ehsan Elhamifar
SigFusion: Unified Signal-Level Self-Supervised Learning Paradigm for Image Fusion
Zeyu Wang, Jiawei Feng, Jiayu Wang et al.
A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning
Meng Xu, Xinhong Chen, Zhongying Chen et al.
CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract)
Xiaotao Liu, Prashant Mohit, Arvind Easwaran
GRDC: A Unified Graph-Driven Framework for Role Discovery and Communication in Multi-Agent Reinforcement Learning
Zihong Gao, Hongjian Liang, Yuanhui Hao et al.