Benchopt: Reproducible, efficient and collaborative optimization benchmarks. - Thomas Moreau 001; Mathurin Massias; Alexandre Gramfort; Pierre Ablin; Pierre-Antoine Bannier; Benjamin Charlier; Mathieu Dagréou; Tom Dupré la Tour; Ghislain Durif; Cássio F. Dantas; Quentin Klopfenstein; Johan Larsson 002; et al. (NeurIPS, 2022)

Improve learning combining crowdsourced labels by weighting Areas Under the Margin. - Tanguy Lefort; Benjamin Charlier; Alexis Joly; Joseph Salmon (CoRR, 2022)

Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it? - Tanguy Lefort; Antoine Affouard; Benjamin Charlier; Jean-Christophe Lombardo; Mathias Chouet; Hervé Goëau; Joseph Salmon; Pierre Bonnet; Alexis Joly (CoRR, 2024)

Identify Ambiguous Tasks Combining Crowdsourced Labels by Weighting Areas Under the Margin. - Tanguy Lefort; Benjamin Charlier; Alexis Joly; Joseph Salmon (Trans. Mach. Learn. Res., 2024)