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2020 – today
- 2023
[b1]Etienne Bennequin:
Challenges of Real Life Few-Shot Image Classification. (Les Défis des Applications Concrètes de la Classification d'Images à partir de Peu d'Exemples). University of Paris-Saclay, France, 2023- [c3]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. CVPR 2023: 24007-24016 - [i6]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. CoRR abs/2301.08390 (2023) - 2022
- [c2]Etienne Bennequin, Myriam Tami, Antoine Toubhans, Céline Hudelot:
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. CVPR Workshops 2022: 4766-4775 - [i5]Etienne Bennequin, Myriam Tami, Antoine Toubhans, Céline Hudelot:
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. CoRR abs/2205.05155 (2022) - [i4]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed:
Model-Agnostic Few-Shot Open-Set Recognition. CoRR abs/2206.09236 (2022) - 2021
- [c1]Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot:
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. ECML/PKDD (1) 2021: 554-569 - [i3]Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot:
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. CoRR abs/2105.11804 (2021)
2010 – 2019
- 2019
- [i2]Etienne Bennequin:
Meta-learning algorithms for Few-Shot Computer Vision. CoRR abs/1909.13579 (2019) - [i1]Mohamed Salah Zaïem, Etienne Bennequin:
Learning to Communicate in Multi-Agent Reinforcement Learning : A Review. CoRR abs/1911.05438 (2019)
Coauthor Index
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