CAp 2026: Conférence sur l'Apprentissage automatique

CAp 2026: Conférence sur l'Apprentissage automatique is the premier French-language conference on machine learning, providing a vital gathering point for the francophone research community working on automated learning from data. The conference covers the full range of machine learning topics including deep learning, pattern recognition, image processing and analysis, representation learning, neural network theory, and computer vision applications. CAp has a long tradition of welcoming both theoretical contributions and applied work, with particular attention to the vibrant French and European ML research ecosystem.

CAp 2026 is designed for machine learning researchers, data scientists, and PhD students in France, Belgium, Switzerland, Canada, and across the francophone world. The French-language format makes it an especially important venue for graduate students who are developing their research communication skills and for researchers who value a community where deep scientific exchange is not filtered through a second language. International researchers with French proficiency and interests in ML are equally welcome to participate.

machine learning deep learning pattern recognition image processing representation learning neural networks computer vision