E-LIB Suche - Ergebnisse für: Lesort, Timothee

1

Amplifying pathological detection in EEG signaling pathways..:

Darvishi-Bayazi, Mohammad-Javad ; Ghaemi, Mohammad Sajjad ; Lesort, Timothee...
Computers in Biology and Medicine. 169 (2024) - p. 107893 , 2024

Link: https://doi.org/10.1016/..

2

Continual learning for robotics: Definition, framework, lea..:

Lesort, Timothée ; Lomonaco, Vincenzo ; Stoian, Andrei...
Information Fusion. 58 (2020) - p. 52-68 , 2020

Link: https://doi.org/10.1016/..

3

Marginal Replay vs Conditional Replay for Continual Learnin:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning,

Lesort, Timothée ; Gepperth, Alexander ; Stoian, Andrei. - p. 466-480 , 2019

Link: https://doi.org/10.1007/..

4

Exploring to learn visual saliency: The RL-IAC approach:

Craye, Céline ; Lesort, Timothée ; Filliat, David.
Robotics and Autonomous Systems. 112 (2019) - p. 244-259 , 2019

Link: https://doi.org/10.1016/..

5

Deep unsupervised state representation learning with roboti..:

, In: 2019 International Joint Conference on Neural Networks (IJCNN),

Lesort, Timothee ; Seurin, Mathieu ; Li, Xinrui.. - p. 1-8 , 2019

Link: https://doi.org/10.1109/..

6

Training Discriminative Models to Evaluate Generative Ones:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing,

Lesort, Timothée ; Stoian, Andrei ; Goudou, Jean-François. - p. 604-619 , 2019

Link: https://doi.org/10.1007/..

7

State representation learning for control: An overview:

Lesort, Timothée ; Díaz-Rodríguez, Natalia ; Goudou, Jean-Frano̧is.
Neural Networks. 108 (2018) - p. 379-392 , 2018

Link: https://doi.org/10.1016/..

8

Amplifying Pathological Detection in EEG Signaling Pathways..:

Darvishi-Bayazi, Mohammad-Javad ; Ghaemi, Mohammad Sajjad ; Lesort, Timothee...
http://arxiv.org/abs/2309.10910. , 2023

Link: http://arxiv.org/abs/230..

9

A Study of Continual Learning Under Language Shift:

Gogoulou, Evangelia ; Lesort, Timothée ; Boman, Magnus.
http://arxiv.org/abs/2311.01200. , 2023

Link: http://arxiv.org/abs/231..

10

Continual Pre-Training of Large Language Models: How to (re..:

Gupta, Kshitij ; Thérien, Benjamin ; Ibrahim, Adam...
http://arxiv.org/abs/2308.04014. , 2023

Link: http://arxiv.org/abs/230..

11

Beyond Supervised Continual Learning: a Review:

Bagus, Benedikt ; Gepperth, Alexander ; Lesort, Timothée
http://arxiv.org/abs/2208.14307. , 2022

Link: http://arxiv.org/abs/220..

12

Challenging Common Assumptions about Catastrophic Forgettin:

Lesort, Timothée ; Ostapenko, Oleksiy ; Misra, Diganta...
http://arxiv.org/abs/2207.04543. , 2022

Link: http://arxiv.org/abs/220..

13

Continual Learning with Foundation Models: An Empirical Stu..:

Ostapenko, Oleksiy ; Lesort, Timothee ; Rodríguez, Pau...
http://arxiv.org/abs/2205.00329. , 2022

Link: http://arxiv.org/abs/220..

14

Continual Feature Selection: Spurious Features in Continual..:

Lesort, Timothée
http://arxiv.org/abs/2203.01012. , 2022

Link: http://arxiv.org/abs/220..

15

Sequoia: A Software Framework to Unify Continual Learning R..:

Normandin, Fabrice ; Golemo, Florian ; Ostapenko, Oleksiy...
http://arxiv.org/abs/2108.01005. , 2021

Link: http://arxiv.org/abs/210..