Lectures
Invited & Extra Lectures
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Additional Material
Additional material you can freely explore!
Popular Continual Learning Reviews and Surveys
- โContinual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges by Timothรฉe Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat and Natalia Dรญaz-Rodr\วตuez. Information Fusion, 52--68, 2020.
- โContinual Lifelong Learning with Neural Networks: A Review by German I Parisi, Ronald Kemker, Jose L Part, Christopher Kanan and Stefan Wermter. Neural Networks, 54--71, 2019.
- โA Continual Learning Survey: Defying Forgetting in Classification Tasks by Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory Slabaugh and Tinne Tuytelaars. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
Additional papers
- โNever-Ending Learning by Tom Mitchell, William W Cohen, E Hruschka, Partha P Talukdar, B Yang, Justin Betteridge, Andrew Carlson, B Dalvi, Matt Gardner, Bryan Kisiel, J Krishnamurthy, Ni Lao, K Mazaitis, T Mohamed, N Nakashole, E Platanios, A Ritter, M Samadi, B Settles, R Wang, D Wijaya, A Gupta, X Chen, A Saparov, M Greaves and J Welling. Communications of the Acm, 2302--2310, 2015.
- โThe ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network by Gail A. Carpenter and Stephen Grossberg. Computer, 77--88, 1988.
- โCHILD: A First Step Towards Continual Learning by and Mark B Ring. Machine Learning, 77--104, 1997.
Useful Links about Resources on Continual learning
- explore the ContinualAI projects and people
- research venues, industry players, software, tutorials and more
- you can see an organized list of continual learning papers
- โContinual Learning Papers with a dynamic and easy-to-use interface to navigate papers, aligned with GitHub resource above
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