Online Continual Learning with Maximally Interfered Retrieval R Aljundi*, M Caccia*, L Caccia*, E Belilovsky*, M Lin, L Charlin, ... NeurIPS 2019, 2019 | 535 | 2019 |
Language GANs Falling Short M Caccia*, L Caccia*, W Fedus, H Larochelle, J Pineau, L Charlin ICLR 2020, 2018 | 231 | 2018 |
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning M Caccia, P Rodriguez, O Ostapenko, F Normandin, M Lin, L Caccia, ... NeurIPS 2020, 2020 | 145* | 2020 |
Online Learned Continual Compression with Adaptive Quantization Modules L Caccia, E Belilovsky, M Caccia, J Pineau ICML 2020, 2019 | 79 | 2019 |
Pretrained Language Model in Continual Learning: A Comparative Study T Wu, M Caccia, Z Li, YF Li, G Qi, G Haffari ICLR 2022, 2022 | 68 | 2022 |
Continual Learning via Local Module Composition O Ostapenko, P Rodríguez, M Caccia, L Charlin NeurIPS 2021, 2021 | 61 | 2021 |
Learning where to learn: Gradient sparsity in meta and continual learning J von Oswald, D Zhao, S Kobayashi, S Schug, M Caccia, N Zucchet, ... NeurIPS 2021, 2021 | 53 | 2021 |
Beyond trivial counterfactual explanations with diverse valuable explanations P Rodriguez, M Caccia, A Lacoste, L Zamparo, I Laradji, L Charlin, ... ICCV 2021, 2021 | 53 | 2021 |
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions V Lomonaco, L Pellegrini, P Rodriguez, M Caccia, Q She, Y Chen, ... Elsevier Artificial Intelligence Journal, 2020 | 50 | 2020 |
Understanding Continual Learning Settings with Data Distribution Drift Analysis T Lesort, M Caccia, I Rish ICML 2021 Workshop, 2021 | 49 | 2021 |
Synbols: Probing Learning Algorithms with Synthetic Datasets A Lacoste, P Rodríguez, F Branchaud-Charron, P Atighehchian, M Caccia, ... NeurIPS 2020, 2020 | 22 | 2020 |
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges M Caccia, J Mueller, T Kim, L Charlin, R Fakoor CoLLAs 2023, 2022 | 21* | 2022 |
Sequoia: A Software Framework to Unify Continual Learning Research F Normandin, F Golemo, O Ostapenko, P Rodriguez, MD Riemer, ... ICML 2021 Workshop, 2021 | 20* | 2021 |
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research J Bornschein, A Galashov, R Hemsley, A Rannen-Triki, Y Chen, ... JMLR 2023, 2022 | 11 | 2022 |
Method and system for meaningful counterfactual explanations PR LOPEZ, M Caccia, L Zamparo, I Laradji, A Lacoste, DV BERMUDEZ US Patent 11,961,287, 2024 | 8 | 2024 |
Option Pricing and Hedging for Discrete Time Autoregressive Hidden Markov Model M Caccia, B Remillard Proceedings of the Innovations in Insurance, Risk- and Asset Management …, 2018 | 5 | 2018 |
The Unsolved Challenges of LLMs in Open-Ended Web Tasks: A Case Study R Assouel*, T Marty*, M Caccia, I Laradji, A Drouin, S Rajeswar, ... NeurIPS 2023 Workshop, 2023 | 2* | 2023 |
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? A Drouin*, M Gasse*, M Caccia, IH Laradji, M Del Verme, T Marty, ... ICML 2024, 2024 | 1 | 2024 |
Towards Compute-Optimal Transfer Learning M Caccia, A Galashov, A Douillard, A Rannen-Triki, D Rao, M Paganini, ... ICLR 2023 Workshop, 2023 | 1 | 2023 |