Massimo Caccia

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	전체	2019년 이후
서지정보	1506	1498
h-index	14	14
i10-index	14	14

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20182019202020212022202320245 36 107 216 326 466 339

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Laurent CharlinAssociate Professor, HEC Montréal & Mila, Canada CIFAR AI Chairhec.ca의 이메일 확인됨
Lucas CacciaMicrosoft Researchmail.mcgill.ca의 이메일 확인됨
Issam H. LaradjiStaff Research Scientist at ServiceNow & Adjunct Professor at University of British Columbiaservicenow.com의 이메일 확인됨
Pau RodríguezApple Machine Learning Research, ELLIS memberapple.com의 이메일 확인됨
Alexandre LacosteStaff Research Scientist, ServiceNow Researchservicenow.com의 이메일 확인됨
David VázquezServiceNow Research, ELLIS memberservicenow.com의 이메일 확인됨
Eugene BelilovskyAssistant Professor, Concordia University and Mila Quebec AI Instituteconcordia.ca의 이메일 확인됨
Oleksiy OstapenkoUniversity of Montreal, MILAumontreal.ca의 이메일 확인됨
Min LinPrincipal Research Scientist, Sea AI Labsea.com의 이메일 확인됨
Irina RishUniversity of Montreal / Mila -Quebec AI Institutemila.quebec의 이메일 확인됨
Fabrice NormandinMilamila.quebec의 이메일 확인됨
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; Milacs.mcgill.ca의 이메일 확인됨
Tinne TuytelaarsKU Leuven - PSI, Belgiumesat.kuleuven.be의 이메일 확인됨
Rahaf AljundiResearcher at Toyota Motor Europetoyota-europe.com의 이메일 확인됨
Timothee LesortMila - Quebec AI Instituteensta-paris.fr의 이메일 확인됨
Hugo LarochelleGoogle DeepMind & Milagoogle.com의 이메일 확인됨
William FedusOpenAIopenai.com의 이메일 확인됨
Alexandre DrouinLead Research Scientist, ServiceNow Research -- Adjunct Professor of Computer Science, ULavalelementai.com의 이메일 확인됨
Vincenzo LomonacoAssistant Professor @ Unipi, Founding Board Member @ ContinualAI.org, Co-Founder @ ContinualIST.comunipi.it의 이메일 확인됨
Rasool FakoorAmazon Web Servicesamazon.com의 이메일 확인됨

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Massimo Caccia

ServiceNow Research

servicenow.com의 이메일 확인됨 - 홈페이지

Deep Learning


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Online Continual Learning with Maximally Interfered Retrieval R Aljundi, M Caccia, L Caccia, E Belilovsky, M Lin, L Charlin, ... NeurIPS 2019, 2019	560	2019
Language GANs Falling Short M Caccia, L Caccia, W Fedus, H Larochelle, J Pineau, L Charlin ICLR 2020, 2018	236	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	148*	2020
Online Learned Continual Compression with Adaptive Quantization Modules L Caccia, E Belilovsky, M Caccia, J Pineau ICML 2020, 2019	85	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	76	2022
Continual Learning via Local Module Composition O Ostapenko, P Rodríguez, M Caccia, L Charlin NeurIPS 2021, 2021	69	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	58	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	56	2021
Beyond trivial counterfactual explanations with diverse valuable explanations P Rodriguez, M Caccia, A Lacoste, L Zamparo, I Laradji, L Charlin, ... ICCV 2021, 2021	55	2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis T Lesort, M Caccia, I Rish ICML 2021 Workshop, 2021	54	2021
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges M Caccia, J Mueller, T Kim, L Charlin, R Fakoor CoLLAs 2023, 2022	23*	2022
Sequoia: A Software Framework to Unify Continual Learning Research F Normandin, F Golemo, O Ostapenko, P Rodriguez, MD Riemer, ... 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	9	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, ...		2024

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