Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases. - Hugo Touvron; Sylvain Faisan; Florian Tilquin; Vincent Noblet (ISBI, 2019)

Fixing the train-test resolution discrepancy. - Hugo Touvron; Andrea Vedaldi; Matthijs Douze; Hervé Jégou (NeurIPS, 2019)

Fixing the train-test resolution discrepancy: FixEfficientNet. - Hugo Touvron; Andrea Vedaldi; Matthijs Douze; Hervé Jégou (CoRR, 2020)

Powers of layers for image-to-image translation. - Hugo Touvron; Matthijs Douze; Matthieu Cord; Hervé Jégou (CoRR, 2020)

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

LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. - Benjamin Graham; Alaaeldin El-Nouby; Hugo Touvron; Pierre Stock; Armand Joulin; Hervé Jégou; Matthijs Douze (ICCV, 2021)

Going deeper with Image Transformers. - Hugo Touvron; Matthieu Cord; Alexandre Sablayrolles; Gabriel Synnaeve; Hervé Jégou (ICCV, 2021)

Grafit: Learning fine-grained image representations with coarse labels. - Hugo Touvron; Alexandre Sablayrolles; Matthijs Douze; Matthieu Cord; Hervé Jégou (ICCV, 2021)

Training data-efficient image transformers & distillation through attention. - Hugo Touvron; Matthieu Cord; Matthijs Douze; Francisco Massa; Alexandre Sablayrolles; Hervé Jégou (ICML, 2021)

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases. - Stéphane d'Ascoli; Hugo Touvron; Matthew L. Leavitt; Ari S. Morcos; Giulio Biroli; Levent Sagun (ICML, 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)

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)

ResNet strikes back: An improved training procedure in timm. - Ross Wightman; Hugo Touvron; Hervé Jégou (CoRR, 2021)

Are Large-scale Datasets Necessary for Self-Supervised Pre-training? - Alaaeldin El-Nouby; Gautier Izacard; Hugo Touvron; Ivan Laptev; Hervé Jégou; Edouard Grave (CoRR, 2021)

Augmenting Convolutional networks with attention-based aggregation. - Hugo Touvron; Matthieu Cord; Alaaeldin El-Nouby; Piotr Bojanowski; Armand Joulin; Gabriel Synnaeve; Hervé Jégou (CoRR, 2021)

Three Things Everyone Should Know About Vision Transformers. - Hugo Touvron; Matthieu Cord; Alaaeldin El-Nouby; Jakob Verbeek; Hervé Jégou (ECCV (24), 2022)

DeiT III: Revenge of the ViT. - Hugo Touvron; Matthieu Cord; Hervé Jégou (ECCV (24), 2022)

Co-training 2L Submodels for Visual Recognition. - Hugo Touvron; Matthieu Cord; Maxime Oquab; Piotr Bojanowski; Jakob Verbeek; Hervé Jégou (CoRR, 2022)

Architectures and Training for Visual Understanding. (Architectures et Apprentissage pour l'Interprétation d'Image). - Hugo Touvron (2022)

Co-training 2L Submodels for Visual Recognition. - Hugo Touvron; Matthieu Cord; Maxime Oquab; Piotr Bojanowski; Jakob Verbeek; Hervé Jégou (CVPR, 2023)

LLaMA: Open and Efficient Foundation Language Models. - Hugo Touvron; Thibaut Lavril; Gautier Izacard; Xavier Martinet; Marie-Anne Lachaux; Timothée Lacroix; Baptiste Rozière; Naman Goyal 001; Eric Hambro; Faisal Azhar; Aurélien Rodriguez; Armand Joulin; et al. (CoRR, 2023)

Llama 2: Open Foundation and Fine-Tuned Chat Models. - Hugo Touvron; Louis Martin; Kevin Stone; Peter Albert; Amjad Almahairi; Yasmine Babaei; Nikolay Bashlykov; Soumya Batra; Prajjwal Bhargava; Shruti Bhosale; Dan Bikel; Lukas Blecher; et al. (CoRR, 2023)

Code Llama: Open Foundation Models for Code. - Baptiste Rozière; Jonas Gehring; Fabian Gloeckle; Sten Sootla; Itai Gat; Xiaoqing Ellen Tan; Yossi Adi; Jingyu Liu; Tal Remez; Jérémy Rapin; Artyom Kozhevnikov; Ivan Evtimov; et al. (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)

The Llama 3 Herd of Models. - Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Ahmad Al-Dahle; Aiesha Letman; Akhil Mathur; Alan Schelten; Amy Yang; Angela Fan; Anirudh Goyal; Anthony Hartshorn; et al. (CoRR, 2024)

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. - Huy V. Vo; Vasil Khalidov; Timothée Darcet; Théo Moutakanni; Nikita Smetanin; Marc Szafraniec; Hugo Touvron; Camille Couprie; Maxime Oquab; Armand Joulin; Hervé Jégou; Patrick Labatut; et al. (Trans. Mach. Learn. Res., 2024)