Meta-learning algorithms for Few-Shot Computer Vision. - Etienne Bennequin (CoRR, 2019)

Learning to Communicate in Multi-Agent Reinforcement Learning : A Review. - Mohamed Salah Zaïem; Etienne Bennequin (CoRR, 2019)

Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. - Etienne Bennequin; Victor Bouvier; Myriam Tami; Antoine Toubhans; Céline Hudelot (ECML/PKDD (1), 2021)

Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. - Etienne Bennequin; Myriam Tami; Antoine Toubhans; Céline Hudelot (CVPR Workshops, 2022)

Model-Agnostic Few-Shot Open-Set Recognition. - Malik Boudiaf; Etienne Bennequin; Myriam Tami; Céline Hudelot; Antoine Toubhans; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2022)

Open-Set Likelihood Maximization for Few-Shot Learning. - Malik Boudiaf; Etienne Bennequin; Myriam Tami; Antoine Toubhans; Pablo Piantanida; Céline Hudelot; Ismail Ben Ayed (CVPR, 2023)

Challenges of Real Life Few-Shot Image Classification. (Les Défis des Applications Concrètes de la Classification d'Images à partir de Peu d'Exemples). - Etienne Bennequin (2023)