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Massimo Caccia
Observed names:
Caccia M.,
Caccia, Massimo,
M. Caccia
Institution:
ServiceNow (United States)
Observed institutions:
HEC Montréal,
Canadian Institute for Advanced Research,
University of Insubria,
Centre Universitaire de Mila,
Mila - Quebec Artificial Intelligence Institute,
ServiceNow (United States),
Polytechnique Montréal,
McGill University,
Université de Montréal
show all 9
OpenAlex ID:
A5130023931
Online Continual Learning with Maximal Interfered Retrieval
2019
·
Rahaf Aljundi
, Eugene Belilovsky
, et al.
·
arXiv (Cornell University)
·
245
Language GANs Falling Short
2020
·
M. Caccia
, Lucas Caccia
, et al.
·
International Conference on Learning Representations
·
103
Online Continual Learning with Maximally Interfered Retrieval
2019
·
Aljundi, Rahaf
, Caccia, Lucas
, et al.
·
arXiv (Cornell University)
·
97
PDF
Language GANs Falling Short
2018
·
Caccia, Massimo
, Caccia, Lucas
, et al.
·
arXiv (Cornell University)
·
74
PDF
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
2020
·
M. Caccia
, Pau Rodríguez
, et al.
·
neural information processing systems
·
60
Online Learned Continual Compression with Adaptive Quantization Modules
2019
·
Caccia, Lucas
, Belilovsky, Eugene
, et al.
·
arXiv (Cornell University)
·
50
PDF
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
2021
·
Pau Rodriguez
, Massimo Caccia
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
47
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
2022
·
Lomonaco V.
, Pellegrini L.
, et al.
·
CINECA IRIS Institutial research information system (University of Pisa)
·
44
Continual Learning via Local Module Composition
2021
·
Ostapenko, Oleksiy
, Rodriguez, Pau
, et al.
·
arXiv (Cornell University)
·
27
PDF
Learning where to learn: Gradient sparsity in meta and continual learning
2021
·
von Oswald, Johannes
, Zhao, Dominic
, et al.
·
Zurich Open Repository and Archive (University of Zurich)
·
27
PDF
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
2020
·
Caccia, Massimo
, Rodriguez, Pau
, et al.
·
arXiv (Cornell University)
·
22
PDF
Understanding Continual Learning Settings with Data Distribution Drift Analysis
2021
·
Lesort, Timothée
, Caccia, Massimo
, et al.
·
arXiv (Cornell University)
·
17
PDF
Sequoia: A Software Framework to Unify Continual Learning Research
2021
·
Normandin, Fabrice
, Golemo, Florian
, et al.
·
arXiv (Cornell University)
·
10
PDF
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
2024
·
Léo Boisvert
, Megh Thakkar
, et al.
·
neural information processing systems
·
9
PDF
Synbols: Probing Learning Algorithms with Synthetic Datasets
2020
·
Lacoste, Alexandre
, Rodríguez, Pau
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
·
8
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
2021
·
Vincenzo Lomonaco
, Lorenzo Pellegrini
, et al.
·
Artificial Intelligence
·
7
The BrowserGym Ecosystem for Web Agent Research
2024
·
De Chezelles, Thibault Le Sellier
, Gasse, Maxime
, et al.
·
arXiv (Cornell University)
·
4
PDF
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
2024
·
Drouin, Alexandre
, Gasse, Maxime
, et al.
·
arXiv (Cornell University)
·
3
PDF
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
2022
·
Bornschein, Jorg
, Galashov, Alexandre
, et al.
·
arXiv (Cornell University)
·
3
PDF
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges
2022
·
Caccia, Massimo
, Mueller, Jonas
, et al.
·
arXiv (Cornell University)
·
3
PDF
GitChameleon: Unmasking the Version-Switching Capabilities of Code Generation Models
2024
·
Islah, Nizar
, Gehring, Justine
, et al.
·
arXiv (Cornell University)
·
2
PDF
Towards Compute-Optimal Transfer Learning
2023
·
Caccia, Massimo
, Galashov, Alexandre
, et al.
·
arXiv (Cornell University)
·
2
PDF
Online Learned Continual Compression with Stacked Quantization Module.
2019
·
Lucas Caccia
, Eugene Belilovsky
, et al.
·
arXiv (Cornell University)
·
2
Option Pricing and Hedging for Discrete Time Autoregressive Hidden Markov Model
2018
·
Massimo Caccia
, Bruno Rémillard
·
2
GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities
2026
·
Diganta Misra
, Nizar Islah
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
1
PDF
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Works count:
41
Citation count:
884
H-index:
13
I10-index:
14
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