Deep Clustering for Unsupervised Learning of Visual Features. - Mathilde Caron; Piotr Bojanowski; Armand Joulin; Matthijs Douze (ECCV (14), 2018)

Unsupervised Pre-Training of Image Features on Non-Curated Data. - Mathilde Caron; Piotr Bojanowski; Julien Mairal; Armand Joulin (ICCV, 2019)

Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. - Mathilde Caron; Piotr Bojanowski; Julien Mairal; Armand Joulin (CoRR, 2019)

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. - Mathilde Caron; Ishan Misra; Julien Mairal; Priya Goyal; Piotr Bojanowski; Armand Joulin (NeurIPS, 2020)

Pruning Convolutional Neural Networks with Self-Supervision. - Mathilde Caron; Ari Morcos; Piotr Bojanowski; Julien Mairal; Armand Joulin (CoRR, 2020)

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. - Mahmoud Assran; Mathilde Caron; Ishan Misra; Piotr Bojanowski; Armand Joulin; Nicolas Ballas; Michael G. Rabbat (ICCV, 2021)

Emerging Properties in Self-Supervised Vision Transformers. - Mathilde Caron; Hugo Touvron; Ishan Misra; Hervé Jégou; Julien Mairal; Piotr Bojanowski; Armand Joulin (ICCV, 2021)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin Ali; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (NeurIPS, 2021)

Self-supervised Pretraining of Visual Features in the Wild. - Priya Goyal; Mathilde Caron; Benjamin Lefaudeux; Min Xu; Pengchao Wang; Vivek Pai; Mannat Singh; Vitaliy Liptchinsky; Ishan Misra; Armand Joulin; Piotr Bojanowski (CoRR, 2021)

ResMLP: Feedforward networks for image classification with data-efficient training. - Hugo Touvron; Piotr Bojanowski; Mathilde Caron; Matthieu Cord; Alaaeldin El-Nouby; Edouard Grave; Armand Joulin; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (CoRR, 2021)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin El-Nouby; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (CoRR, 2021)

Towards Unsupervised Dense Information Retrieval with Contrastive Learning. - Gautier Izacard; Mathilde Caron; Lucas Hosseini; Sebastian Riedel 001; Piotr Bojanowski; Armand Joulin; Edouard Grave (CoRR, 2021)

Self-supervised learning of deep visual representations. (Apprentissage auto-supervisé de représentations visuelles avec des réseaux de neurones profonds). - Mathilde Caron (2021)

A Memory Transformer Network for Incremental Learning. - Ahmet Iscen; Thomas Bird; Mathilde Caron; Alireza Fathi; Cordelia Schmid (BMVC, 2022)

Masked Siamese Networks for Label-Efficient Learning. - Mahmoud Assran; Mathilde Caron; Ishan Misra; Piotr Bojanowski; Florian Bordes; Pascal Vincent; Armand Joulin; Mike Rabbat; Nicolas Ballas (ECCV (31), 2022)

Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. - Priya Goyal; Quentin Duval; Isaac Seessel; Mathilde Caron; Ishan Misra; Levent Sagun; Armand Joulin; Piotr Bojanowski (CoRR, 2022)

Location-Aware Self-Supervised Transformers. - Mathilde Caron; Neil Houlsby; Cordelia Schmid (CoRR, 2022)

Unsupervised Dense Information Retrieval with Contrastive Learning. - Gautier Izacard; Mathilde Caron; Lucas Hosseini; Sebastian Riedel 001; Piotr Bojanowski; Armand Joulin; Edouard Grave (Trans. Mach. Learn. Res., 2022)

FlexiViT: One Model for All Patch Sizes. - Lucas Beyer; Pavel Izmailov; Alexander Kolesnikov 003; Mathilde Caron; Simon Kornblith; Xiaohua Zhai; Matthias Minderer; Michael Tschannen; Ibrahim Alabdulmohsin; Filip Pavetic (CVPR, 2023)

Verbs in Action: Improving verb understanding in video-language models. - Liliane Momeni; Mathilde Caron; Arsha Nagrani; Andrew Zisserman; Cordelia Schmid (ICCV, 2023)

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (ICML, 2023)

Self-supervised Learning for Endoscopic Video Analysis. - Roy Hirsch; Mathilde Caron; Regev Cohen; Amir Livne; Ron Shapiro; Tomer Golany; Roman Goldenberg; Daniel Freedman; Ehud Rivlin (MICCAI (5), 2023)

Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. - Mostafa Dehghani 001; Basil Mustafa; Josip Djolonga; Jonathan Heek; Matthias Minderer; Mathilde Caron; Andreas Steiner 001; Joan Puigcerver; Robert Geirhos; Ibrahim M. Alabdulmohsin; Avital Oliver; Piotr Padlewski; et al. (NeurIPS, 2023)

Preface of UniReps: the First Workshop on Unifying Representations in Neural Models. - Marco Fumero; Emanuele Rodolà; Clémentine C. J. Dominé; Francesco Locatello; Karolina Dziugaite; Mathilde Caron (UniReps, 2023)

Weakly-Supervised Surgical Phase Recognition. - Roy Hirsch; Regev Cohen; Mathilde Caron; Tomer Golany; Daniel Freedman; Ehud Rivlin (CoRR, 2023)

Guided Diffusion from Self-Supervised Diffusion Features. - Vincent Tao Hu; Yunlu Chen; Mathilde Caron; Yuki M. Asano; Cees G. M. Snoek; Björn Ommer (CoRR, 2023)

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. - Hugo Touvron; Piotr Bojanowski; Mathilde Caron; Matthieu Cord; Alaaeldin El-Nouby; Edouard Grave; Gautier Izacard; Armand Joulin; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Generative Approach for Wikipedia-Scale Visual Entity Recognition. - Mathilde Caron; Ahmet Iscen; Alireza Fathi; Cordelia Schmid (CVPR, 2024)

Self-masking Networks for Unsupervised Adaptation. - Alfonso Taboada Warmerdam; Mathilde Caron; Yuki M. Asano (GCPR (1), 2024)

Retrieval-Enhanced Contrastive Vision-Text Models. - Ahmet Iscen; Mathilde Caron; Alireza Fathi; Cordelia Schmid (ICLR, 2024)

Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach. - Mathilde Caron; Alireza Fathi; Cordelia Schmid; Ahmet Iscen (NeurIPS, 2024)

Location-Aware Self-Supervised Transformers for Semantic Segmentation. - Mathilde Caron; Neil Houlsby; Cordelia Schmid (WACV, 2024)

Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames. - Anurag Arnab; Ahmet Iscen; Mathilde Caron; Alireza Fathi; Cordelia Schmid (CoRR, 2025)