机构

• 自动化研究所 [7]
• 计算技术研究所 [3]
• 数学与系统科学研究院 [1]
• 合肥物质科学研究院 [1]

采集方式

• OAI收割 [12]

内容类型

• 期刊论文 [12]

发表日期

• 2024 [4]
• 2023 [3]
• 2021 [2]
• 2020 [3]

学科主题

筛选

浏览/检索结果: 共12条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：3/0  |  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   Domain-incremental learning without forgetting based on random vector functional link networks 期刊论文  OAI收割 PATTERN RECOGNITION, 2024, 卷号: 151, 页码: 12 作者:  Liu, Chong;  Wang, Yi;  Li, Dong;  Wang, Xizhao   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06 Incremental learning  Domain-incremental learning  RVFL network  Catastrophic forgetting  Privacy preservation   Introspective GAN: Learning to grow a GAN for incremental generation and classification 期刊论文  OAI收割 PATTERN RECOGNITION, 2024, 卷号: 151, 页码: 12 作者:  He, Chen;  Wang, Ruiping;  Shan, Shiguang;  Chen, Xilin   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 Incremental learning  Catastrophic forgetting  Generative Adversarial Networks   Contrastive Correlation Preserving Replay for Online Continual Learning 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 124-139 作者:  Yu, Da;  Zhang, Mingyi;  Li, Mantian;  Zha, Fusheng;  Zhang, Junge   |  收藏  |  浏览/下载：27/0  |  提交时间：2024/03/26 Task analysis  Correlation  Knowledge transfer  Training  Memory management  Data models  Mutual information  Continual learning  catastrophic forgetting  class-incremental learning  experience replay   Online Active Continual Learning for Robotic Lifelong Object Recognition 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15 作者:  Nie, Xiangli;  Deng, Zhiguang;  He, Mingdong;  Fan, Mingyu;  Tang, Zheng   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/11/16 Task analysis  Robots  Data models  Object recognition  Learning systems  Training  Heuristic algorithms  Catastrophic forgetting  lifelong object recognition  online active learning (OAL)  online continual learning (OCL)   Squeezing More Past Knowledge for Online Class-Incremental Continual Learning 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 722-736 作者:  Da Yu;  Mingyi Zhang;  Mantian Li;  Fusheng Zha;  Junge Zhang   |  收藏  |  浏览/下载：17/0  |  提交时间：2023/03/02 Catastrophic forgetting  class-incremental learning  continual learning (CL)  experience replay   Feature Clustering-Based Network for Industrial Process Diagnosis With Incremental Fault Types 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 11 作者:  Xu, Xinyao;  Xu, De   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/11/17 ~Catastrophic forgetting  fault diagnosis  feature clustering  incremental learning  network expansion   One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2921-2935 作者:  Zhang, Miao;  Li, Huiqi;  Pan, Shirui;  Chang, Xiaojun;  Zhou, Chuan   |  收藏  |  浏览/下载：62/0  |  提交时间：2021/10/26 Computer architecture  Training  Optimization  Neural networks  Search methods  Australia  Germanium  AutoML  neural architecture search  continual learning  catastrophic forgetting  novelty search   Incremental Concept Learning via Online Generative Memory Recall 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3206-3216 作者:  Li, Huaiyu;  Dong, Weiming;  Hu, Bao-Gang   |  收藏  |  浏览/下载：45/0  |  提交时间：2021/08/15 Task analysis  Learning systems  Neural networks  Feature extraction  Visualization  Knowledge engineering  Training  Catastrophic forgetting  continual learning  generative adversarial networks (GANs)   State Primitive Learning to Overcome Catastrophic Forgetting in Robotics 期刊论文  OAI收割 COGNITIVE COMPUTATION, 2020, 页码: 9 作者:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong   |  收藏  |  浏览/下载：44/0  |  提交时间：2021/01/06 Catastrophic forgetting  State primitives  Robotics  Continual learning