Massimo Caccia

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Laurent CharlinAssociate Professor, HEC Montréal & Mila, Canada CIFAR AI ChairVerified email at hec.ca
Lucas CacciaMicrosoft ResearchVerified email at mail.mcgill.ca
Issam H. LaradjiStaff Research Scientist at ServiceNow & Adjunct Professor at University of British ColumbiaVerified email at servicenow.com
Pau RodríguezApple Machine Learning Research, ELLIS memberVerified email at apple.com
Alexandre LacosteStaff Research Scientist, ServiceNow ResearchVerified email at servicenow.com
David VázquezServiceNow Research, ELLIS memberVerified email at servicenow.com
Eugene BelilovskyAssistant Professor, Concordia University and Mila Quebec AI InstituteVerified email at concordia.ca
Oleksiy OstapenkoUniversity of Montreal, MILAVerified email at umontreal.ca
Min LinPrincipal Research Scientist, Sea AI LabVerified email at sea.com
Irina RishUniversity of Montreal / Mila -Quebec AI InstituteVerified email at mila.quebec
Fabrice NormandinMilaVerified email at mila.quebec
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
Rahaf AljundiResearcher at Toyota Motor EuropeVerified email at toyota-europe.com
Timothee LesortMila - Quebec AI InstituteVerified email at ensta-paris.fr
Hugo LarochelleGoogle DeepMind & MilaVerified email at google.com
William FedusOpenAIVerified email at openai.com
Alexandre DrouinLead Research Scientist, ServiceNow Research -- Adjunct Professor of Computer Science, ULavalVerified email at elementai.com
Vincenzo LomonacoAssistant Professor @ Unipi, Founding Board Member @ ContinualAI.org, Co-Founder @ ContinualIST.comVerified email at unipi.it
Rasool FakoorAmazon Web ServicesVerified email at amazon.com

Massimo Caccia

ServiceNow Research

Verified email at servicenow.com - Homepage

Deep Learning


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Online Continual Learning with Maximally Interfered Retrieval R Aljundi, M Caccia, L Caccia, E Belilovsky, M Lin, L Charlin, ... NeurIPS 2019, 2019	573	2019
Language GANs Falling Short M Caccia, L Caccia, W Fedus, H Larochelle, J Pineau, L Charlin ICLR 2020, 2018	238	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	154*	2020
Online Learned Continual Compression with Adaptive Quantization Modules L Caccia, E Belilovsky, M Caccia, J Pineau ICML 2020, 2019	88	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	77	2022
Continual Learning via Local Module Composition O Ostapenko, P Rodríguez, M Caccia, L Charlin NeurIPS 2021, 2021	71	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	60	2020
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	57	2021
Beyond trivial counterfactual explanations with diverse valuable explanations P Rodriguez, M Caccia, A Lacoste, L Zamparo, I Laradji, L Charlin, ... ICCV 2021, 2021	57	2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis T Lesort, M Caccia, I Rish ICML 2021 Workshop, 2021	55	2021
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges M Caccia, J Mueller, T Kim, L Charlin, R Fakoor CoLLAs 2023, 2022	24*	2022
Sequoia: A Software Framework to Unify Continual Learning Research F Normandin, et al., M Caccia ICML 2021 Workshop, 2021	22*	2021
Synbols: Probing Learning Algorithms with Synthetic Datasets A Lacoste, P Rodríguez, F Branchaud-Charron, P Atighehchian, M Caccia, ... NeurIPS 2020, 2020	21	2020
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	14	2022
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	10	2024
Method and system for meaningful counterfactual explanations P Rodriguez, M Caccia, L Zamparo, I Laradji, A Lacoste, D Vazquez US Patent 11,961,287, 2022	9	2022
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	4*	2023
Towards Compute-Optimal Transfer Learning M Caccia, A Galashov, A Douillard, A Rannen-Triki, D Rao, M Paganini, ... ICLR 2023 Workshop, 2023	2	2023
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks L Boisvert, M Thakkar, M Gasse, M Caccia, D Chezelles, T Le Sellier, ... NeurIPS 2024, 2024		2024

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