Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach. - Kirill Sirotkin; Marcos Escudero-Viñolo; Pablo Carballeira; Juan Carlos SanMiguel Avedillo (CoRR, 2021)

A study on the distribution of social biases in self-supervised learning visual models. - Kirill Sirotkin; Pablo Carballeira; Marcos Escudero-Viñolo (CVPR, 2022)

Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification. - Iván de Andrés Tamé; Kirill Sirotkin; Pablo Carballeira; Marcos Escudero-Viñolo (CoRR, 2023)

Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation. - Kirill Sirotkin; Marcos Escudero-Viñolo; Pablo Carballeira; Mayug Maniparambil; Catarina Barata; Noel E. O'Connor (CoRR, 2024)

Improved transferability of self-supervised learning models through batch normalization finetuning. - Kirill Sirotkin; Marcos Escudero-Viñolo; Pablo Carballeira; Álvaro García-Martín (Appl. Intell., 2024)