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Probing Representation Forgetting in Supervised and Unsupervised Continual Learning


Apr 05, 2022
MohammadReza Davari, Nader Asadi, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky

* Accepted at CVPR 2022 

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New Insights on Reducing Abrupt Representation Change in Online Continual Learning


Mar 08, 2022
Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky

* Accepted at ICLR 2022. Code Available at https://github.com/pclucas14/AML 

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Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection


Oct 04, 2021
Farzaneh Rezaeianaran, Rakshith Shetty, Rahaf Aljundi, Daniel Olmeda Reino, Shanshan Zhang, Bernt Schiele

* Accepted in ICCV 2021 

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Continual Novelty Detection


Jun 24, 2021
Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner


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Reducing Representation Drift in Online Continual Learning


Apr 11, 2021
Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky


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Identifying Wrongly Predicted Samples: A Method for Active Learning


Oct 14, 2020
Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino


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Continual Learning in Neural Networks


Oct 18, 2019
Rahaf Aljundi

* PhD Thesis, Supervisor: Tinne Tuytelaars 

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Continual learning: A comparative study on how to defy forgetting in classification tasks


Sep 18, 2019
Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars


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Online Continual Learning with Maximally Interfered Retrieval


Aug 23, 2019
Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars


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