This workshop is part of the CIMI 2026 thematic trimester on “Low-Resource Settings in AI”. The goal of this trimester is to deepen our understanding of AI models—particularly pre-trained neural models such as language, vision, and multimodal models—under conditions of severe data or computational constraints.
During this workshop, we will focus in particular on models and systems developed with computational frugality constraints, as well as on issues of model explainability for text and images.
The workshop will feature presentations by international guests and researchers from Toulouse, as well as tutorials. The full program will be available soon on the website, but we are pleased to confirm the participation of our distinguished guests:
- Alexandre Allauzen, Professor at ESPCI (Paris, France)
- Meriem Belloucif, Assistant professor at Uppsala University (Uppsala, Sweden)
- Lihu Chen, Research Associate at Imperial College London (London, UK)
- Didier Schwab, Professor at University Grenoble Alpes (Grenoble, France)
- Adil Zouitine, Founding Research Scientist at UMA (Paris, France)
The workshop will also feature 3 tutorials:
- Adil Zouitine - RL with few data (TBC)
- Ronan Sicre and Moncef Garouani - Explainability for vision models
- Antonin Poché - Explainability in NLP
Participation in the workshop is free, but registration is required so that we can better assess our organizational needs.
Important dates:
- September, 3: Deadline for student grant application
- September, 18: Deadline for registration and presentation proposals
- October 6-9: Workshop - University of Toulouse campus