CASIA OpenIR

浏览/检索结果: 共4条,第1-4条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 4, 页码: 834-852
作者:  Liu, Qing-Bin;  He, Shi-Zhu;  Liu, Cao;  Liu, Kang;  Zhao, Jun
收藏  |  浏览/下载:32/0  |  提交时间:2024/02/22
end-to-end task-oriented dialogue  dialogue state tracking (DST)  unsupervised learning  reinforcement learning  
Face Forgery Detection by 3D Decomposition and Composition Search 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8342-8357
作者:  Zhu, Xiangyu;  Fei, Hongyan;  Zhang, Bin;  Zhang, Tianshuo;  Zhang, Xiaoyu;  Li, Stan Z.;  Lei, Zhen
收藏  |  浏览/下载:150/0  |  提交时间:2023/11/17
Faces  Forgery  Three-dimensional displays  Face recognition  Feature extraction  Lighting  Computer architecture  Composition search  differentiable search  fake face  forgery detection  3D decomposition  3D face model  
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载:400/87  |  提交时间:2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Hu, Guangzheng;  Zhu, Yuanheng;  Zhao, Dongbin;  Zhao, Mengchen;  Hao, Jianye
收藏  |  浏览/下载:215/0  |  提交时间:2022/01/27
Bandwidth  Protocols  Reinforcement learning  Task analysis  Optimization  Communication networks  Multi-agent systems  Event trigger  limited bandwidth  multi-agent communication  multi-agent reinforcement learning (MARL)