Sampling Strategies in Siamese Networks for Unsupervised Speech Representation Learning. - Rachid Riad; Corentin Dancette; Julien Karadayi; Neil Zeghidour; Thomas Schatz; Emmanuel Dupoux (INTERSPEECH, 2018)

A K-Nearest Neighbours Approach To Unsupervised Spoken Term Discovery. - Alexis Thual; Corentin Dancette; Julien Karadayi; Juan Benjumea; Emmanuel Dupoux (SLT, 2018)

RUBi: Reducing Unimodal Biases for Visual Question Answering. - Rémi Cadène; Corentin Dancette; Hédi Ben-Younes; Matthieu Cord; Devi Parikh (NeurIPS, 2019)

Overcoming Statistical Shortcuts for Open-ended Visual Counting. - Corentin Dancette; Rémi Cadène; Xinlei Chen; Matthieu Cord (CoRR, 2020)

Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. - Corentin Dancette; Rémi Cadène; Damien Teney; Matthieu Cord (ICCV, 2021)

Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization. - Alexandre Ramé; Corentin Dancette; Matthieu Cord (ICML, 2022)

Dynamic Query Selection for Fast Visual Perceiver. - Corentin Dancette; Matthieu Cord (CoRR, 2022)

Improving Selective Visual Question Answering by Learning from Your Peers. - Corentin Dancette; Spencer Whitehead; Rishabh Maheshwary; Ramakrishna Vedantam; Stefan Scherer; Xinlei Chen; Matthieu Cord; Marcus Rohrbach (CVPR, 2023)

eP-ALM: Efficient Perceptual Augmentation of Language Models. - Mustafa Shukor; Corentin Dancette; Matthieu Cord (ICCV, 2023)

Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards. - Alexandre Ramé; Guillaume Couairon; Corentin Dancette; Jean-Baptiste Gaya; Mustafa Shukor; Laure Soulier; Matthieu Cord (NeurIPS, 2023)

Unified Model for Image, Video, Audio and Language Tasks. - Mustafa Shukor; Corentin Dancette; Alexandre Ramé; Matthieu Cord (CoRR, 2023)

UnIVAL: Unified Model for Image, Video, Audio and Language Tasks. - Mustafa Shukor; Corentin Dancette; Alexandre Ramé; Matthieu Cord (Trans. Mach. Learn. Res., 2023)

Shortcut Learning in Visual Question Answering. (Étude des biais dans les systèmes de questions-réponses visuelles). - Corentin Dancette (2023)

Efficient Medical Question Answering with Knowledge-Augmented Question Generation. - Julien Khlaut; Corentin Dancette; Elodie Ferreres; Alaedine Bennani; Paul Hérent; Pierre Manceron (ClinicalNLP@NAACL, 2024)

Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning. - Mustafa Shukor; Alexandre Ramé; Corentin Dancette; Matthieu Cord (ICLR, 2024)

ONCOPILOT: A Promptable CT Foundation Model For Solid Tumor Evaluation. - Léo Machado; Hélène Philippe; Élodie Ferreres; Julien Khlaut; Julie Dupuis; Korentin Le Floch; Denis Habip Gatenyo; Pascal Roux; Jules Grégory; Maxime Ronot; Corentin Dancette; Daniel Tordjman; et al. (CoRR, 2024)

RadSAM: Segmenting 3D radiological images with a 2D promptable model. - Julien Khlaut; Elodie Ferreres; Daniel Tordjman; Hélène Philippe; Tom Boeken; Pierre Manceron; Corentin Dancette (CoRR, 2025)

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging. - Théo Danielou; Daniel Tordjman; Pierre Manceron; Corentin Dancette (CoRR, 2025)