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Bilateral Memory Consolidation for Continual Learning 会议论文
, Montreal, Canada, 2023年6月18日–2023年6月22日
作者:  Xing Nie;  Shixiong Xu;  Xiyan Liu;  Gaofeng Meng;  Chunlei Huo;  Shiming Xiang
Adobe PDF(1031Kb)  |  收藏  |  浏览/下载：30/9  |  提交时间：2024/06/21
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：273/34  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 5513-5528
作者:  Zhao, Mengbiao;  Feng, Wei;  Yin, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(5999Kb)  |  收藏  |  浏览/下载：444/42  |  提交时间：2022/09/19
Costs  Annotations  Training  Labeling  Detectors  Data models  Benchmark testing  Mixed-supervised learning  scene text detection  weak supervision forms  expectation-maximization algorithm  
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions 期刊论文
INFORMS JOURNAL ON COMPUTING, 2022, 页码: 19
作者:  Tian, Hu;  Zheng, Xiaolong;  Zhao, Kang;  Liu, Maggie Wenjing;  Zeng, Daniel Dajun
Adobe PDF(1329Kb)  |  收藏  |  浏览/下载：342/78  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence  
Active Universal Domain Adaptation 会议论文
2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC, Canada, 11-17 October 2019
作者:  Ma, Xinhong;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(2052Kb)  |  收藏  |  浏览/下载：256/66  |  提交时间：2022/06/17
Using Pre-trained Language Model to Enhance Active Learning for Sentence Matching 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2022, 卷号: 21, 期号: 2, 页码: 19
作者:  Bai, Guirong;  He, Shizhu;  Liu, Kang;  Zhao, Jun
Adobe PDF(4097Kb)  |  收藏  |  浏览/下载：305/62  |  提交时间：2022/06/10
Sentence matching  active learning  pre-trained language model  
epsilon-k anonymization and adversarial training of graph neural networks for privacy preservation in social networks 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2021, 卷号: 50, 页码: 17
作者:  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Daniel Dajun
Adobe PDF(2484Kb)  |  收藏  |  浏览/下载：303/103  |  提交时间：2021/12/28
Privacy preservation  Anonymization  Graph neural networks  Social network  
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2891-2904
作者:  Zhang, Xinbang;  Huang, Zehao;  Wang, Naiyan;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1271Kb)  |  收藏  |  浏览/下载：317/63  |  提交时间：2021/11/02
Computer architecture  Optimization  Learning (artificial intelligence)  Task analysis  Acceleration  Evolutionary computation  Convolution  Neural architecture search(NAS)  convolution neural network  sparse optimization  
Data-Driven Multi-Energy Investment and Management Under Earthquakes 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 10, 页码: 6939-6950
作者:  Zhao, Pengfei;  Gu, Chenghong;  Cao, Zhidong;  Shen, Yichen;  Teng, Fei;  Chen, Xinlei;  Wu, Chenye;  Huo, Da;  Xu, Xu;  Li, Shuangqi
收藏  |  浏览/下载：229/0  |  提交时间：2021/11/02
Economics  Power transmission lines  Uncertainty  Systems operation  Pipelines  Reliability engineering  Transmission line measurements  Distributionally robust optimization (DRO)  emergency response  integrated electricity and gas system  reliability  
Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition 期刊论文
IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 5, 期号: 1, 页码: 5 - 15
作者:  Zhentao Tang;  Yuanheng Zhu;  Dongbin Zhao;  Simon M. Lucas
Adobe PDF(7686Kb)  |  收藏  |  浏览/下载：337/70  |  提交时间：2021/07/05
Rolling horizon evolution  opponent model  reinforcement learning  supervised learning  fighting game