中国科学院计算技术研究所机构知识库

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	Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 6, 页码: 789-800 作者:  He, Yuting;  Chen, Yiqiang;  Yang, XiaoDong;  Yu, Hanchao;  Huang, Yi-Hua;  Gu, Yang 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Data models  Training  Servers  Collaborative work  Adaptation models  Convergence  Feature extraction  Federated learning  knowledge distillation  non-identically distributed  deep learning  catastrophic forgetting
	BIRD plus : Design of a Lightweight Communication Compressor for Resource-Constrained Distribution Learning Platforms 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 11, 页码: 2193-2207 作者:  Wu, Donglei;  Yang, Weihao;  Zou, Xiangyu;  Feng, Hao;  Tao, Dingwen;  Li, Shiyi;  Xia, Wen;  Fang, Binxing 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Indexes  Costs  Computational modeling  Distance learning  Computer aided instruction  Training  Tensors  Distributed learning  communication compression  random sampling  neural network
	Linguistic Hallucination for Text-Based Video Retrieval 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 10, 页码: 9692-9705 作者:  Fang, Sheng;  Dang, Tiantian;  Wang, Shuhui;  Huang, Qingming 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Linguistics  Training  Testing  Encoding  Context modeling  Feature extraction  Task analysis  Text-video retrieval  partially relevant video retrieval  linguistic hallucination  curriculum learning
	A Lightweight Deep Human Activity Recognition Algorithm Using Multiknowledge Distillation 期刊论文 IEEE SENSORS JOURNAL, 2024, 卷号: 24, 期号: 19, 页码: 31495-31511 作者:  Chen, Runze;  Luo, Haiyong;  Zhao, Fang;  Meng, Xuechun;  Xie, Zhiqing;  Zhu, Yida 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Human activity recognition  Computational modeling  Sensors  Feature extraction  Training  Task analysis  Deep learning  Artificial neural network  human activity recognition (HAR)  multiknowledge distillation
	FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 10, 页码: 9368-9382 作者:  Wu, Zhiyuan;  Sun, Sheng;  Wang, Yuwei;  Liu, Min;  Xu, Ke;  Wang, Wen;  Jiang, Xuefeng;  Gao, Bo;  Lu, Jinda 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Computer architecture  Training  Servers  Computational modeling  Data models  Adaptation models  Performance evaluation  Distributed architecture  edge computing  personalized federated learning  knowledge distillation  communication efficiency
	Sketch Beautification: Learning Part Beautification and Structure Refinement for Sketches of Man-Made Objects 期刊论文 IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2024, 卷号: 30, 期号: 9, 页码: 6533-6546 作者:  Yu, Deng;  Lau, Manfred;  Gao, Lin;  Fu, Hongbo 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Task analysis  Training  Interpolation  Manifolds  Layout  Image reconstruction  Geometry  Sketch assembly  sketch beautification  sketch implicit representation
	A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2024, 页码: 23 作者:  Liu, Chang;  Dong, Yinpeng;  Xiang, Wenzhao;  Yang, Xiao;  Su, Hang;  Zhu, Jun;  Chen, Yuefeng;  He, Yuan;  Xue, Hui;  Zheng, Shibao 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Robustness benchmark  Distribution shift  Pre-training  Adversarial training  Image classification
	Progressive Decision Boundary Shifting for Unsupervised Domain Adaptation 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 12 作者:  Li, Liang;  Lu, Tongyu;  Sun, Yaoqi;  Gao, Yuhan;  Yan, Chenggang;  Hu, Zhenghui;  Huang, Qingming 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Uncertainty  Feature extraction  Semantics  Task analysis  Training  Adversarial machine learning  Symbols  Domain shifting  progressive decision boundary  self-learning  unsupervised domain adaptation (UDA)
	Adaptive Perturbation for Adversarial Attack 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 8, 页码: 5663-5676 作者:  Yuan, Zheng;  Zhang, Jie;  Jiang, Zhaoyan;  Li, Liangliang;  Shan, Shiguang 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Perturbation methods  Iterative methods  Adaptation models  Generators  Closed box  Security  Training  Adversarial attack  transfer-based attack  adversarial example  adaptive perturbation
	Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 6, 页码: 4159-4174 作者:  Chang, Dongliang;  Sain, Aneeshan;  Ma, Zhanyu;  Song, Yi-Zhe;  Wang, Ruiping;  Guo, Jun 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Picture archiving and communication systems  Training  Task analysis  Labeling  Adaptation models  Visualization  Information exchange  Domain adaptation  open set  mutual learning  transfer learning