×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
自动化研究所 [11]
北京大学 [2]
厦门大学 [1]
理论物理研究所 [1]
数学与系统科学研究院 [1]
心理研究所 [1]
更多...
内容类型
期刊论文 [21]
发表日期
2023 [5]
2022 [2]
2021 [4]
2020 [4]
2019 [1]
2015 [1]
更多...
学科主题
Physics [1]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共21条,第1-10条
帮助
限定条件
内容类型:期刊论文
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
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
Relay Hindsight Experience Replay: Self-guided continual reinforcement learning for sequential object manipulation tasks with sparse rewards
期刊论文
NEUROCOMPUTING, 2023, 卷号: 557
作者:
Luo, Yongle
;
Wang, Yuxin
;
Dong, Kun
;
Zhang, Qiang
;
Cheng, Erkang
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/11/10
Deep reinforcement learning
Robotic manipulation
Continual learning
Hindsight experience replay
Sparse reward
Online Active Continual Learning for Robotic Lifelong Object Recognition
期刊论文
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:6/0
  |  
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)
Imitating the Oracle: Towards Calibrated Model for Class Incremental Learning
期刊论文
Neural Networks, 2023, 卷号: 164, 页码: 38-48
作者:
Fei Zhu
;
Zhen Cheng
;
Xu-Yao Zhang
;
Cheng-Lin Liu
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/09/12
Class incremental learning
Continual learning
Lifelong learning
Incremental Pedestrian Attribute Recognition via Dual Uncertainty-Aware Pseudo-Labeling
期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 卷号: 18, 页码: 2622-2636
作者:
Li, Da
;
Zhang, Zhang
;
Shan, Caifeng
;
Wang, Liang
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/11/17
Uncertainty
Task analysis
Training
Visualization
Benchmark testing
Measurement uncertainty
Estimation
Pedestrian attribute recognition
continual learning
uncertainty estimation
Statistical mechanics of continual learning: Variational principle and mean-field potential
期刊论文
PHYSICAL REVIEW E, 2023, 卷号: 108, 期号: 1, 页码: 14309
作者:
Li, Chan
;
Huang, Zhenye
;
Zou, Wenxuan
;
Huang, Haiping
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/12/07
NETWORKS
Structural Attention Enhanced Continual Meta-Learning for Graph Edge Labeling Based Few-Shot Remote Sensing Scene Classification
期刊论文
Remote Sensing, 2022, 期号: 14, 页码: 485
作者:
Li FM(李非墨)
;
Li SB(李帅博)
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2022/04/06
remote sensing scene classification
few shot learning
continual meta-learning
graph transformer
Lifelong CycleGAN for continual multi-task image restoration
期刊论文
PATTERN RECOGNITION LETTERS, 2022, 卷号: 153, 页码: 183-189
作者:
Li, Yuping
;
Nie, Xiangli
;
Diao, Wenhui
;
Zheng, Suiwu
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2022/02/16
Image restoration
Lifelong
continual learning
CycleGAN
Knowledge distillation
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting
期刊论文
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:90/0
  |  
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
Zero-shot policy generation in lifelong reinforcement learning q
期刊论文
NEUROCOMPUTING, 2021, 卷号: 446, 页码: 65-73
作者:
Qian, Yi-Ming
;
Xiong, Fang-Zhou
;
Liu, Zhi-Yong
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2021/08/15
Lifelong reinforcement learning
Generalization policy
Task domain
Incremental Concept Learning via Online Generative Memory Recall
期刊论文
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:37/0
  |  
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)
©版权所有 ©2017 CSpace - Powered by
CSpace