Publications

Peer-reviewed publications

• Open-Set Likelihood Maximization for Few-Shot Learning. Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Celine Hudelot, Ismail Ben Ayed. CVPR 2023.
  • Source Code
• Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. Etienne Bennequin, Myriam Tami, Antoine Toubhans, and Céline Hudelot. Workshop on Vision Datasets Understanding, CVPR 2022.
  • Source Code
  • Check out our interactive project page!
• Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, and Céline Hudelot. ECML-PKDD 2021.
  • Source Code

Just sharing

• Model-Agnostic Few-Shot Open-Set Recognition . Malik Boudiaf, Etienne Bennequin, Myriam Tami, Celine Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed. Preprint 2022.

• Meta-learning algorithms for few-shot computer vision. Etienne Bennequin. Internship Report. 2019.

• Learning to Communicate in Multi-Agent Reinforcement Learning : A Review. Salah Zaïem and Etienne Bennequin. Student Review. 2019.

Blog posts

• EasyFSL: Your Code for Few-Shot Learning

• Your Own Few-Shot Classification Model Ready in 15mn with PyTorch

• 3 Reasons Why We Are Far From Achieving Artificial General Intelligence

• Few-Shot Image Classification with Meta-Learning