Your browser doesn't support javascript.
loading
Imitating the oracle: Towards calibrated model for class incremental learning.
Zhu, Fei; Cheng, Zhen; Zhang, Xu-Yao; Liu, Cheng-Lin.
Affiliation
  • Zhu F; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation of Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China. Electronic address: zhufei2018@ia.ac.c
  • Cheng Z; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation of Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China. Electronic address: chengzhen2019@ia.a
  • Zhang XY; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation of Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China. Electronic address: xyz@nlpr.ia.ac.cn.
  • Liu CL; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation of Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China. Electronic address: liucl@nlpr.ia.ac.c
Neural Netw ; 164: 38-48, 2023 Jul.
Article in En | MEDLINE | ID: mdl-37146448
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Benchmarking / Upper Extremity Type of study: Prognostic_studies Language: En Journal: Neural Netw Journal subject: NEUROLOGIA Year: 2023 Document type: Article Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Benchmarking / Upper Extremity Type of study: Prognostic_studies Language: En Journal: Neural Netw Journal subject: NEUROLOGIA Year: 2023 Document type: Article Country of publication: Estados Unidos