CAp 2025: Conférence sur l'Apprentissage Automatique

CAp 2025, the Conférence sur l'Apprentissage Automatique, is the main French-language conference on machine learning, providing a community forum for researchers in France and the Francophone world to share advances across the full spectrum of the field. Topics include supervised and unsupervised learning, deep learning architectures, reinforcement learning, Bayesian methods, optimization theory, representation learning, and applications in NLP, computer vision, and the natural sciences.

CAp plays an important role in the French ML ecosystem by offering a venue where discussions can happen in French, lowering barriers for students and researchers at earlier stages of their careers, while maintaining rigorous scientific standards. The conference also fosters connections between academic ML research in France — which has produced many globally recognized contributions — and the country's growing AI industry, making it a valuable gathering point for both researchers and practitioners.

machine learning deep learning reinforcement learning representation learning Bayesian methods optimization natural language processing computer vision