Continual Learning Course
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  • Continual Learning: On Machines that can Learn Continually
  • Background
    • ๐Ÿ”กPrerequisites
    • ๐Ÿ› ๏ธTools & Setup
    • ๐Ÿ“‘Course Details
  • Lectures
    • ๐Ÿ“Introduction & Motivation
    • ๐Ÿ“Understanding Catastrophic Forgetting
    • ๐Ÿ“Scenarios & Benchmarks
    • ๐Ÿ“Evaluation & Metrics
    • ๐Ÿ“Methodologies [Part 1]
    • ๐Ÿ“Methodologies [Part 2]
    • ๐Ÿ“Methodologies [Part 3], Applications & Tools
    • ๐Ÿ“Frontiers in Continual Learning
  • Invited & Extra Lectures
    • ๐Ÿ’ปAvalanche Dev Day
    • ๐Ÿ”ฎInvited Talks
  • Resources
    • ๐Ÿ“šCourse Materials
    • ๐Ÿ”€Additional Material
  • About Us
    • ๐Ÿ‘จโ€๐ŸซYour Instructor
    • ๐Ÿ†˜Teaching Assistants
  • Useful Links
    • Avalanche
    • Forum
    • Colab
    • Wiki
    • Open World Lifelong Learning Course
    • ContinualAI
    • Join us on Slack!
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  1. Resources

Additional Material

Additional material you can freely explore!

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Last updated 3 years ago

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Popular Continual Learning Reviews and Surveys

  • by Timothรฉe Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat and Natalia Dรญaz-Rodr\วตuez. Information Fusion, 52--68, 2020.

  • by German I Parisi, Ronald Kemker, Jose L Part, Christopher Kanan and Stefan Wermter. Neural Networks, 54--71, 2019.

  • 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

  • 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.

  • by Gail A. Carpenter and Stephen Grossberg. Computer, 77--88, 1988.

  • by and Mark B Ring. Machine Learning, 77--104, 1997.

Useful Links about Resources on Continual learning

    • explore the ContinualAI projects and people

  • with many videos and seminars on continual learning

  • , general resources on continual learning

    • research venues, industry players, software, tutorials and more

  • on GitHub

    • you can see an organized list of continual learning papers

  • with a dynamic and easy-to-use interface to navigate papers, aligned with GitHub resource above

Related Courses

: Advanced, seminar-style course at MILA, 2021.

๐Ÿ”€
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Continual Lifelong Learning with Neural Networks: A Review
A Continual Learning Survey: Defying Forgetting in Classification Tasks
Never-Ending Learning
The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network
CHILD: A First Step Towards Continual Learning
ContinualAI association main website
YouTube account of ContinualAI
ContinualAI wiki
Continual Learning Papers
Continual Learning Papers
"Continual Learning: Towards Broad AI"