متابعة
Timothee Lesort
Timothee Lesort
Mila - Quebec AI Institute
بريد إلكتروني تم التحقق منه على ensta-paris.fr - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges‏
T Lesort, V Lomonaco, A Stoian, D Maltoni, D Filliat, N Díaz-Rodríguez‏
Information Fusion 58, 52-68, 2020‏
6332020
State representation learning for control: An overview‏
T Lesort, N Díaz-Rodríguez, JF Goudou, D Filliat‏
Neural Networks 108, 379-392, 2018‏
4172018
Generative models from the perspective of continual learning‏
T Lesort, H Caselles-Dupré, M Garcia-Ortiz, A Stoian, D Filliat‏
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019‏
2002019
Foundational Models for Continual Learning: An Empirical Study of Latent Replay‏
O Ostapenko, T Lesort, P Rodríguez, MR Arefin, A Douillard, I Rish, ...‏
CoLLas 2022, Oral, 2022‏
77*2022
Continual Pre-Training of Large Language Models: How to (re) warm your model?‏
K Gupta, B Thérien, A Ibrahim, ML Richter, Q Anthony, E Belilovsky, I Rish, ...‏
752023
DisCoRL: Continual Reinforcement Learning via Policy Distillation‏
R Traoré, H Caselles-Dupré, T Lesort, T Sun, G Cai, N Díaz-Rodríguez, ...‏
International Conference on Neural Information Processing Systems (NeurIPS …, 2019‏
752019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics‏
A Raffin, A Hill, KR Traoré, T Lesort, N Díaz-Rodríguez, D Filliat‏
International Conference on Learning Representations (ICLR) 2019, Structure …, 2019‏
682019
Understanding Continual Learning Settings with Data Distribution Drift Analysis‏
T Lesort, M Caccia, I Rish‏
International Conference of Machine Learning 2021 (ICML) Workshop on Theory …, 2021‏
642021
Simple and scalable strategies to continually pre-train large language models‏
A Ibrahim, B Thérien, K Gupta, ML Richter, Q Anthony, T Lesort, ...‏
arXiv preprint arXiv:2403.08763, 2024‏
602024
Deep unsupervised state representation learning with robotic priors: a robustness analysis‏
T Lesort, M Seurin, X Li, N Díaz-Rodríguez, D Filliat‏
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019‏
58*2019
Continual reinforcement learning deployed in real-life using policy distillation and sim2real transfer‏
R Traoré, H Caselles-Dupré, T Lesort, T Sun, N Díaz-Rodríguez, D Filliat‏
arXiv preprint arXiv:1906.04452, 2019‏
582019
Regularization shortcomings for continual learning‏
T Lesort, A Stoian, D Filliat‏
arXiv preprint arXiv:1912.03049, 2019‏
522019
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning‏
DF Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz ...‏
International Conference on Neural Information Processing Systems (NeurIPS …, 2018‏
40*2018
Marginal replay vs conditional replay for continual learning‏
T Lesort, A Gepperth, A Stoian, D Filliat‏
International Conference on Artificial Neural Networks, 466-480, 2019‏
392019
Continuum: Simple management of complex continual learning scenarios‏
A Douillard, T Lesort‏
arXiv preprint arXiv:2102.06253, 2021‏
35*2021
Continual learning: Tackling catastrophic forgetting in deep neural networks with replay processes‏
T Lesort‏
arXiv preprint arXiv:2007.00487, 2020‏
34*2020
Sequoia: A Software Framework to Unify Continual Learning Research‏
F Normandin, F Golemo, O Ostapenko, P Rodriguez, MD Riemer, ...‏
arXiv preprint arXiv:2108.01005, 2021‏
27*2021
Training Discriminative Models to Evaluate Generative Ones‏
T Lesort, JF Goudou, D Filliat‏
International Conference on Artificial Neural Networks, 604--619, 2018‏
232018
Continual feature selection: Spurious features in continual learning‏
T Lesort‏
arXiv preprint arXiv:2203.01012, 2022‏
21*2022
Continual Learning in Deep Networks: an Analysis of the Last Layer‏
T Lesort, T George, I Rish‏
International Conference of Machine Learning 2021 (ICML) Workshop on Theory …, 2021‏
212021
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مقالات 1–20