Eden Belouadah

According to our database, Eden Belouadah authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MultIOD: Rehearsal-free Multihead Incremental Object Detector.

Eden Belouadah, Arnaud Dapogny, Kevin Bailly

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PlaStIL: Plastic and Stable Exemplar-Free Class-Incremental Learning.

Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

A comparative study of calibration methods for imbalanced class incremental learning.

Umang Aggarwal, Adrian Popescu, Eden Belouadah, Céline Hudelot

Multim. Tools Appl., 2022

PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning.

Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide

CoRR, 2022

Dataset Knowledge Transfer for Class-Incremental Learning without Memory.

Habib Slim, Eden Belouadah, Adrian Popescu, Darian M. Onchis

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Large-scale deep class-incremental learning. (Apprentissage incrémental profond à large échelle).

Eden Belouadah

PhD thesis, 2021

A comprehensive study of class incremental learning algorithms for visual tasks.

Eden Belouadah, Adrian Popescu, Ioannis Kanellos

Neural Networks, 2021

Avalanche: an End-to-End Library for Continual Learning.

Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

CoRR, 2021

Avalanche: An End-to-End Library for Continual Learning.

Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

ScaIL: Classifier Weights Scaling for Class Incremental Learning.

Eden Belouadah, Adrian Popescu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Active Class Incremental Learning for Imbalanced Datasets.

Eden Belouadah, Adrian Popescu, Umang Aggarwal, Léo Saci

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Initial Classifier Weights Replay for Memoryless Class Incremental Learning.

Eden Belouadah, Adrian Popescu, Ioannis Kanellos

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

IL2M: Class Incremental Learning With Dual Memory.

Eden Belouadah, Adrian Popescu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

DeeSIL: Deep-Shallow Incremental Learning.

Eden Belouadah, Adrian Popescu

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018