DeeSIL: Deep-Shallow Incremental Learning. - Eden Belouadah; Adrian Popescu 001 (ECCV Workshops (2), 2018)

IL2M: Class Incremental Learning With Dual Memory. - Eden Belouadah; Adrian Popescu 001 (ICCV, 2019)

Initial Classifier Weights Replay for Memoryless Class Incremental Learning. - Eden Belouadah; Adrian Popescu 001; Ioannis Kanellos (BMVC, 2020)

Active Class Incremental Learning for Imbalanced Datasets. - Eden Belouadah; Adrian Popescu 001; Umang Aggarwal; Léo Saci (ECCV Workshops (6), 2020)

ScaIL: Classifier Weights Scaling for Class Incremental Learning. - Eden Belouadah; Adrian Popescu 001 (WACV, 2020)

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; et al. (CVPR Workshops, 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; et al. (CoRR, 2021)

A comprehensive study of class incremental learning algorithms for visual tasks. - Eden Belouadah; Adrian Popescu 001; Ioannis Kanellos (Neural Networks, 2021)

Large-scale deep class-incremental learning. (Apprentissage incrémental profond à large échelle). - Eden Belouadah (2021)

Dataset Knowledge Transfer for Class-Incremental Learning without Memory. - Habib Slim; Eden Belouadah; Adrian Popescu 001; Darian M. Onchis (WACV, 2022)

PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning. - Grégoire Petit; Adrian Popescu 001; Eden Belouadah; David Picard; Bertrand Delezoide (CoRR, 2022)

A comparative study of calibration methods for imbalanced class incremental learning. - Umang Aggarwal; Adrian Popescu 001; Eden Belouadah; Céline Hudelot (Multim. Tools Appl., 2022)

PlaStIL: Plastic and Stable Exemplar-Free Class-Incremental Learning. - Grégoire Petit; Adrian Popescu 001; Eden Belouadah; David Picard; Bertrand Delezoide (CoLLAs, 2023)

MultIOD: Rehearsal-free Multihead Incremental Object Detector. - Eden Belouadah; Arnaud Dapogny; Kevin Bailly (CVPR Workshops, 2024)