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Massimo Caccia
Massimo Caccia
ServiceNow Research
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Title
Cited by
Cited by
Year
Online Continual Learning with Maximally Interfered Retrieval
R Aljundi*, M Caccia*, L Caccia*, E Belilovsky*, M Lin, L Charlin, ...
NeurIPS 2019 -- (mind the Google Scholar bug), 2019
667*2019
Language GANs Falling Short
M Caccia*, L Caccia*, W Fedus, H Larochelle, J Pineau, L Charlin
ICLR 2020, 2018
2232018
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
139*2020
Online Learned Continual Compression with Adaptive Quantization Modules
L Caccia, E Belilovsky, M Caccia, J Pineau
ICML 2020, 2019
732019
Pretrained Language Model in Continual Learning: A Comparative Study
T Wu, M Caccia, Z Li, YF Li, G Qi, G Haffari
ICLR 2022, 2022
542022
Continual Learning via Local Module Composition
O Ostapenko, P Rodríguez, M Caccia, L Charlin
NeurIPS 2021, 2021
502021
Understanding Continual Learning Settings with Data Distribution Drift Analysis
T Lesort, M Caccia, I Rish
ICML 2021 Workshop, 2021
482021
Beyond trivial counterfactual explanations with diverse valuable explanations
P Rodriguez, M Caccia, A Lacoste, L Zamparo, I Laradji, L Charlin, ...
ICCV 2021, 2021
462021
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
432021
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
382020
Synbols: Probing Learning Algorithms with Synthetic Datasets
A Lacoste, P Rodríguez, F Branchaud-Charron, P Atighehchian, M Caccia, ...
NeurIPS 2020, 2020
242020
Sequoia: A Software Framework to Unify Continual Learning Research
F Normandin, F Golemo, O Ostapenko, P Rodriguez, MD Riemer, ...
ICML 2021 Workshop, 2021
19*2021
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges
M Caccia, J Mueller, T Kim, L Charlin, R Fakoor
CoLLAs 2023, 2022
18*2022
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
82022
Method and system for meaningful counterfactual explanations
PR LOPEZ, M Caccia, L Zamparo, I Laradji, A Lacoste, DV BERMUDEZ
US Patent App. 17/449,872, 2022
82022
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
52018
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
2023
Towards Compute-Optimal Transfer Learning
M Caccia, A Galashov, A Douillard, A Rannen-Triki, D Rao, M Paganini, ...
ICLR 2023 Workshop, 2023
2023
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