Eden Belouadah

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 20

Top Topics

Incremental Learning

Unlabeled Samples

Top Venues

Multim. Tools Appl.

Publications

Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide
PlaStIL: Plastic and Stable Exemplar-Free Class-Incremental Learning. CoLLAs (2023)
Eden Belouadah, Arnaud Dapogny, Kevin Bailly
MultIOD: Rehearsal-free Multihead Incremental Object Detector. CoRR (2023)
Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning. CoRR (2022)
Umang Aggarwal, Adrian Popescu, Eden Belouadah, Céline Hudelot
A comparative study of calibration methods for imbalanced class incremental learning. Multim. Tools Appl. 81 (14) (2022)
Habib Slim, Eden Belouadah, Adrian Popescu, Darian M. Onchis
Dataset Knowledge Transfer for Class-Incremental Learning without Memory. WACV (2022)
Umang Aggarwal, Adrian Popescu, Eden Belouadah, Céline Hudelot
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning. CoRR (2022)
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 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
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops (2021)
Habib Slim, Eden Belouadah, Adrian Popescu, Darian M. Onchis
Dataset Knowledge Transfer for Class-Incremental Learning without Memory. CoRR (2021)
Eden Belouadah, Adrian Popescu, Ioannis Kanellos
A comprehensive study of class incremental learning algorithms for visual tasks. Neural Networks 135 (2021)
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 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
Avalanche: an End-to-End Library for Continual Learning. CoRR (2021)
Eden Belouadah, Adrian Popescu, Umang Aggarwal, Léo Saci
Active Class Incremental Learning for Imbalanced Datasets. ECCV Workshops (6) (2020)
Eden Belouadah, Adrian Popescu, Umang Aggarwal, Léo Saci
Active Class Incremental Learning for Imbalanced Datasets. CoRR (2020)
Eden Belouadah, Adrian Popescu
ScaIL: Classifier Weights Scaling for Class Incremental Learning. WACV (2020)
Eden Belouadah, Adrian Popescu
ScaIL: Classifier Weights Scaling for Class Incremental Learning. CoRR (2020)
Eden Belouadah, Adrian Popescu, Ioannis Kanellos
Initial Classifier Weights Replay for Memoryless Class Incremental Learning. BMVC (2020)
Eden Belouadah, Adrian Popescu, Ioannis Kanellos
Initial Classifier Weights Replay for Memoryless Class Incremental Learning. CoRR (2020)
Eden Belouadah, Adrian Popescu, Ioannis Kanellos
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks. CoRR (2020)
Eden Belouadah, Adrian Popescu
IL2M: Class Incremental Learning With Dual Memory. ICCV (2019)
Eden Belouadah, Adrian Popescu
DeeSIL: Deep-Shallow Incremental Learning. ECCV Workshops (2) (2018)
Eden Belouadah, Adrian Popescu
DeeSIL: Deep-Shallow Incremental Learning. CoRR (2018)