中国科学院计算技术研究所机构知识库

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限定条件	资助项目：Fundamental Research Funds for the Central Universities

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	AUC-Oriented Domain Adaptation: From Theory to Algorithm 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14161-14174 作者:  Yang, Zhiyong;  Xu, Qianqian;  Bao, Shilong;  Wen, Peisong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20 AUC-oriented Learning  domain adaptation  machine learning
	Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 6, 页码: 7668-7685 作者:  Xu, Qianqian;  Yang, Zhiyong;  Zhao, Yunrui;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Data models  Training data  Training  Deep learning  Predictive models  Testing  Optimization  Label flipping attack  machine learning
	MaxMatch: Semi-Supervised Learning With Worst-Case Consistency 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 5, 页码: 5970-5987 作者:  Jiang, Yangbangyan;  Li, Xiaodan;  Chen, Yuefeng;  He, Yuan;  Xu, Qianqian;  Yang, Zhiyong;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Predictive models  Training  Data models  Semantics  Perturbation methods  Computational modeling  Benchmark testing  Semi-supervised learning  consistency regularization  worst-case consistency  image classification
	Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 1017-1035 作者:  Bao, Shilong;  Xu, Qianqian;  Yang, Zhiyong;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 Recommendation system  collaborative metric learning  negative sampling  machine learning
	A Comprehensive Framework for Long-Tailed Learning via Pretraining and Normalization 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13 作者:  Kang, Nan;  Chang, Hong;  Ma, Bingpeng;  Shan, Shiguang 收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07 Training  Tail  Task analysis  Head  Visualization  Feature extraction  Data models  Classifier design  contrastive learning  long-tailed recognition  normalization
	Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6487-6501 作者:  Zhu, Yao;  Chen, Yuefeng;  Li, Xiaodan;  Chen, Kejiang;  He, Yuan;  Tian, Xiang;  Zheng, Bolun;  Chen, Yaowu;  Huang, Qingming 收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12 Data models  Perturbation methods  Iterative methods  Training  Distributed databases  Predictive models  Neural networks  Adversarial transferability  adversarial attack  black-box attack