12 citations · 18 across the 7 of their papers we have counts for
5 papers · 1 filter
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit, Adrian Popescu, Hugo Schindler +2
Exemplar-free class-incremental learning is very challenging due to the negative effect of catastrophic forgetting. A balance between stability and plasticity of the incremental pr…
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning
Grégoire Petit, Adrian Popescu, Eden Belouadah +2
Plasticity and stability are needed in class-incremental learning in order to learn from new data while preserving past knowledge. Due to catastrophic forgetting, finding a comprom…
Optimizing Active Learning for Low Annotation Budgets
Umang Aggarwal, Adrian Popescu, Céline Hudelot
When we can not assume a large amount of annotated data , active learning is a good strategy. It consists in learning a model on a small amount of annotated data (annotation budget…
Face Verification with Challenging Imposters and Diversified Demographics
Adrian Popescu, Liviu-Daniel Ştefan, Jérôme Deshayes-Chossart +1
Face verification aims to distinguish between genuine and imposter pairs of faces, which include the same or different identities, respectively. The performance reported in recent…
Dataset Knowledge Transfer for Class-Incremental Learning without Memory
Habib Slim, Eden Belouadah, Adrian Popescu +1
Incremental learning enables artificial agents to learn from sequential data. While important progress was made by exploiting deep neural networks, incremental learning remains ver…