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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 发表日期：2020     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名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 Distill and Replay for Continual Language Learning 会议论文 Barcelona, Spain (Online), 2020-12-8 作者:  Sun, Jingyuan;  Wang, Shaonan;  Zhang, Jiajun;  Zong, Chengqing 收藏  |  浏览/下载：20/0  |  提交时间：2021/06/28 State Primitive Learning to Overcome Catastrophic Forgetting in Robotics 期刊论文 COGNITIVE COMPUTATION, 2020, 页码: 9 作者:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong 收藏  |  浏览/下载：19/0  |  提交时间：2021/01/06 Catastrophic forgetting  State primitives  Robotics  Continual learning   Encoding Primitives Generation Policy Learning for Robotic Arm to Overcome Catastrophic Forgetting in Sequential Multi-tasks Learning 期刊论文 Neural Networks, 2020, 期号: 2020.06.003, 页码: 12 作者:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong 收藏  |  浏览/下载：14/0  |  提交时间：2020/06/09 Sequential multi-tasks learning, Continual learning, Catastrophic forgetting, Robotics   Memory Protection Generative Adversarial Network (MPGAN): A Framework to Overcome the Forgetting of GANs Using Parameter Regularization Methods 期刊论文 IEEE ACCESS, 2020, 卷号: 8 作者:  Chang, Yifan;  Li, Wenbo;  Peng, Jian;  Li, Haifeng;  Kang, Yu 收藏  |  浏览/下载：24/0  |  提交时间：2020/11/30 Gallium nitride  Task analysis  Generators  Generative adversarial networks  Training  Neural networks  Knowledge engineering  Catastrophic forgetting  generative adversarial network  parameter regularization methods