Online Continual Learning
Online Continual Learning is a subparadigm of continual learning in which a model incrementally learns from a continuous, sequential stream of data instances without revisiting past data, distinguished by its constraint of single-pass learning and immediate adaptation to new information.
136
Publications
6.7K
Citations
421
Authors
144
Institutions
Publications per year
2017–2026
123
Parents
136
Justin Ma, Lawrence K. Saul, Stefan Savage et al. · 2009 · 504 citations
Online continual learning in image classification: An empirical survey
Zheda Mai, Ruiwen Li, Jihwan Jeong et al. · Neurocomputing · 2021 · 381 citations
Léon Bottou, Y. Le Cun · 2003 · 337 citations
Variational Continual Learning
Cuong V. Nguyen, Yingzhen Li, Thang D. Bui et al. · arXiv (Cornell University) · 2017 · 296 citations · Full text
Online Continual Learning with Maximal Interfered Retrieval
Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars et al. · arXiv (Cornell University) · 2019 · 206 citations · Full text
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144
University of Illinois Chicago
Chicago, United States
5 h-index
8 publications
234 citations
KU Leuven
Leuven, Belgium
5 h-index
8 publications
1K citations

University of Toronto
Toronto, Canada
4 h-index
16 publications
3.2K citations
ETH Zurich
Zurich, Switzerland
4 h-index
9 publications
445 citations
Seoul National University
Seoul, South Korea
4 h-index
9 publications
277 citations
Google (United States)
Mountain View, United States
4 h-index
8 publications
325 citations
National University of Singapore
Singapore, Singapore
3 h-index
3 publications
335 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
9 publications
689 citations
1–8 of 144
Repository · 38 publications · 1.7K citations
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5 publications · 518 citations
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Conference · 4 publications · 106 citations
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Conference · 4 publications · 399 citations
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4 publications · 129 citations
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