The BRAIn team is inviting you to participate to a week on the theme of few-shot learning. Multiple PhD defenses on this theme will take place, along with a day of talks on Tuesday, December 3rd given by distinguished speakers.
All the PhD defenses are public, and are happening at the same place (Venue)
On Tuesday, you are invited to participate to the lunch with a free inscription : register here before October 31st
Details on the talks on tuesday are available on this page
| Time | Type | Speaker | Title |
| Monday, DECEMBER 2, 2024 | |||
|---|---|---|---|
| 9:00-11:30 | PhD Defense | Ilyass Moummad | Invariant Representation Learning for Few-Shot Bioacoustic Event Detection and Classification |
| 14:30-17:00 | PhD Defense | Yassir Bendou | A Data Modeling Perspective on Few-Shot |
| Tuesday, DECEMBER 3, 2024 | |||
| 9:00-10:00 | Talk | Céline Hudelot | Open-Set Likelihood Maximization for Few-Shot Learning |
| 10:00-10:40 | Coffee break | ||
| 10:40-11:00 | Short Talk | Vincent Jaouen | Apprentissage à faible régime de données pour le traitement d’images médicales |
| 11:00-12:00 | Talk | Alexis Joly | Weakly-supervised analysis of multi-label plant images in the context of the Pl@ntNet project |
| 12:00-14:00 | Lunch | Organized by the team – Register Here before October 31st | |
| 14:00-15:00 | Talk | Nicolas Courty | Dimensionality reduction and Clustering through the lens of Optimal Transport |
| 15:00-15:20 | Short Talk | Nga Nguyen | Improving Satellite Observation Gap Filling with End-to-end Data Assimilation Neural Network: Sea Surface Turbidity Case Studies |
| 15:20-16:00 | Coffee break | ||
| 16:00-17:00 | Talk | Ronan Fablet | Bridging Physics and Deep Learning for Ocean Modeling and Monitoring: How to deal with sparsely-sampled data? |
| Wednesday, DECEMBER 4, 2024 | |||
| 9:00-11:30 | PhD Defense | Raphaël Lafargue | Data-centric approaches for few-shot learning |
| Thursday, DECEMBER 5, 2024 | |||
| 9:00-11:30 | PhD Defense | Lucas Grativol | Neural Network Compression in the Context of Federating Learning and Edge Devices |
| Friday, DECEMBER 6, 2024 | |||
| 9:30-12:00 | PhD Defense | Hugo Le Blevec | Joint design of deep neural networks and FPGA dataflow architectures for semantic segmentation in autonomous vehicles |