Generative negative replay for continual learning

Author:

Graffieti GabrieleORCID,Maltoni Davide,Pellegrini Lorenzo,Lomonaco Vincenzo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference55 articles.

1. Gradient based sample selection for online continual learning;Aljundi,2019

2. Ayub, A., & Wagner, A. R. (2021). EEC: Learning to Encode and Regenerate Images for Continual Learning. In International conference on learning representations.

3. Belouadah, E., & Popescu, A. (2019). Il2m: Class incremental learning with dual memory. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 583–592).

4. A comprehensive study of class incremental learning algorithms for visual tasks;Belouadah;Neural Networks,2020

5. Castro, F. M., Marín-Jiménez, M. J., Guil, N., Schmid, C., & Alahari, K. (2018). End-to-end incremental learning. In Proceedings of the European conference on computer vision (ECCV) (pp. 233–248).

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