> For the complete documentation index, see [llms.txt](https://course.continualai.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://course.continualai.org/resources/further-readings.md).

# Additional Material

#### Popular Continual Learning Reviews and Surveys

* [Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges](http://www.sciencedirect.com/science/article/pii/S1566253519307377) by Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat and Natalia Díaz-Rodr\ǵuez. *Information Fusion*, 52--68, 2020.
* [Continual Lifelong Learning with Neural Networks: A Review](http://www.sciencedirect.com/science/article/pii/S0893608019300231) by German I Parisi, Ronald Kemker, Jose L Part, Christopher Kanan and Stefan Wermter. *Neural Networks*, 54--71, 2019.
* [A Continual Learning Survey: Defying Forgetting in Classification Tasks](http://arxiv.org/abs/1909.08383) 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

* [Never-Ending Learning](https://dl.acm.org/doi/10.1145/3191513) 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.
* [The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network](https://ieeexplore.ieee.org/document/33) by Gail A. Carpenter and Stephen Grossberg. *Computer*, 77--88, 1988.
* [CHILD: A First Step Towards Continual Learning](https://doi.org/10.1023/A:1007331723572) by and Mark B Ring. *Machine Learning*, 77--104, 1997.

#### Useful Links about Resources on Continual learning

* [ContinualAI association main website](https://www.continualai.org/) 
  * explore the ContinualAI projects and people
* [YouTube account of ContinualAI](https://www.youtube.com/continualai) with many videos and seminars on continual learning
* [ContinualAI wiki](https://wiki.continualai.org/), general resources on continual learning
  * research venues, industry players, software, tutorials and more
* [Continual Learning Papers](https://github.com/ContinualAI/continual-learning-papers) *on GitHub*
  * you can see an organized list of continual learning papers 
* [Continual Learning Papers](https://www.continualai.org/papers/) with a dynamic and easy-to-use interface to navigate papers, aligned with GitHub resource above

#### Related Courses

* ["Continual Learning: Towards Broad AI"](https://sites.google.com/view/ift6760-b2021): Advanced, seminar-style course at MILA, 2021.