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Continual Learning
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Continual Learning
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding
Continual Learning, also known as Lifelong or Incremental Learning, has recently gained renewed interest among the Artificial …
Lorenzo Pellegrini
,
Chenchen Zhu
,
Fanyi Xiao
,
Zhicheng Yan
,
Antonio Carta
,
Matthias De Lange
,
Vincenzo Lomonaco
,
Roshan Sumbaly
,
Pau Rodriguez
,
David Vazquez
ArXiv, 2022.
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Continual Learning with self-selecting specialized modules through expansion and pruning
Continual learning (CL) aims to design algorithms that can learn from non-stationarystreams of stationary tasks without forgetting. …
Oleksiy Ostapenko
,
Pau Rodriguez
,
Alexandre Lacoste
,
Laurent Charlin
Montreal AI Symposium (MAIS), 2022.
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Continual Learning with Foundation Models: An Empirical Study of Latent Replay
Rapid development of large-scale pre-training has resulted in foundation models that can act as effective feature extractors on a …
Oleksiy Ostapenko
,
Timothee Lesort
,
Pau Rodriguez
,
Md Rifat Arefin
,
Arthur Douillard
,
Irina Rish
,
Laurent Charlin
Conference on Lifelong Learning Agents (CoLLAs), 2022.
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Continual Learning with Foundation Models: An Empirical Study of Latent Replay
Rapid development of large-scale pre-training has resulted in foundation models that can act as effective feature extractors on a …
Oleksiy Ostapenko
,
Timothee Lesort
,
Pau Rodriguez
,
Md Rifat Arefin
,
Arthur Douillard
,
Irina Rish
,
Laurent Charlin
Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
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Continual Learning via Local Module Composition
Modularity is a compelling solution to continual learning (CL), the problem of modeling sequences of related tasks. Learning and then …
Oleksiy Ostapenko
,
Pau Rodriguez
,
Massimo Caccia
,
Laurent Charlin
Conference on Neural Information Processing Systems (NeurIPS), 2021.
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Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Continual learning studies agents that learn from streams of tasks without forgetting previous ones while adapting to new ones. Two …
Massimo Caccia
,
Pau Rodriguez
,
Oleksiy Ostapenko
,
Fabrice Normandin
,
Min Lin
,
Lucas Caccia
,
Issam H. Laradji
,
Irina Rish
,
Alexandre Lacoste
,
David Vazquez
,
Laurent Charlin
Conference on Neural Information Processing Systems (NeurIPS), 2020.
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Synbols: Probing Learning Algorithms with Synthetic Datasets
Progress in the field of machine learning has been fueled by the introduction of benchmark datasets pushing the limits of existing …
Alexandre Lacoste
,
Pau Rodriguez
,
Frederic Branchaud
,
Parmida Atighhehchian
,
Massimo Caccia
,
Issam H. Laradji
,
Alexandre Drouin
,
Matt Craddock
,
Laurent Charlin
,
David Vazquez
Conference on Neural Information Processing Systems (NeurIPS), 2020.
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CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
In the last few years, we have witnessed a renewed and fast-growing interest in continual learning with deep neural networks with the …
Vincenzo Lomonaco
,
Lorenzo Pellegrini
,
Pau Rodriguez
,
Massimo Caccia
,
Qi She
,
Yu Chen
,
Quentin Jodelet
,
Ruiping Wang
,
Zheda Mai
,
David Vazquez
,
German I. Parisi
,
Nikhil Churamani
,
Marc Pickett
,
Issam H. Laradji
,
Davide Maltoni
Artificial Intelligence Journal, 2020.
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Online Learned Continual Compression with Adaptive Quantization Modules
We introduce and study the problem of Online Continual Compression, where one attempts to simultaneously learn to compress and store a …
Lucas Caccia
,
Eugene Belilovsky
,
Massimo Caccia
,
Joelle Pineau
International Conference on Machine Learning (ICML), 2020.
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Code
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Continual learning studies agents that learn from streams of tasks without forgetting previous ones while adapting to new ones. Two …
Massimo Caccia
,
Pau Rodriguez
,
Oleksiy Ostapenko
,
Fabrice Normandin
,
Min Lin
,
Lucas Caccia
,
Issam H. Laradji
,
Irina Rish
,
Alexandre Lacoste
,
David Vazquez
,
Laurent Charlin
Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
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