Implementation Guidelines for Image Processing with Convolutional Neural Networks. - Florian Bordes; Erich Schikuta (MoMM, 2016)

Learning to Generate Samples from Noise through Infusion Training. - Florian Bordes; Sina Honari; Pascal Vincent (ICLR (Poster), 2017)

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)

Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head. - Florian Bordes; Randall Balestriero; Quentin Garrido; Adrien Bardes; Pascal Vincent (CoRR, 2022)

High Fidelity Visualization of What Your Self-Supervised Representation Knows About. - Florian Bordes; Randall Balestriero; Pascal Vincent (Trans. Mach. Learn. Res., 2022)

The hidden uniform cluster prior in self-supervised learning. - Mido Assran; Randall Balestriero; Quentin Duval; Florian Bordes; Ishan Misra; Piotr Bojanowski; Pascal Vincent; Michael G. Rabbat; Nicolas Ballas (ICLR, 2023)

PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning. - Florian Bordes; Shashank Shekhar; Mark Ibrahim; Diane Bouchacourt; Pascal Vincent; Ari Morcos (NeurIPS, 2023)

Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning. - Casey Meehan; Florian Bordes; Pascal Vincent; Kamalika Chaudhuri; Chuan Guo 001 (NeurIPS, 2023)

Towards Democratizing Joint-Embedding Self-Supervised Learning. - Florian Bordes; Randall Balestriero; Pascal Vincent (CoRR, 2023)

A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation. - Florian Bordes; Samuel Lavoie; Randall Balestriero; Nicolas Ballas; Pascal Vincent (CoRR, 2023)

A Cookbook of Self-Supervised Learning. - Randall Balestriero; Mark Ibrahim; Vlad Sobal; Ari Morcos; Shashank Shekhar; Tom Goldstein; Florian Bordes; Adrien Bardes; Grégoire Mialon; Yuandong Tian; Avi Schwarzschild; Andrew Gordon Wilson; et al. (CoRR, 2023)

Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations. - Shashank Shekhar; Florian Bordes; Pascal Vincent; Ari Morcos (CoRR, 2023)

Predicting masked tokens in stochastic locations improves masked image modeling. - Amir Bar; Florian Bordes; Assaf Shocher; Mahmoud Assran; Pascal Vincent; Nicolas Ballas; Trevor Darrell; Amir Globerson; Yann LeCun (CoRR, 2023)

Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning. - Florian Bordes; Randall Balestriero; Quentin Garrido; Adrien Bardes; Pascal Vincent (Trans. Mach. Learn. Res., 2023)

A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions. - Jack Urbanek; Florian Bordes; Pietro Astolfi; Mary Williamson; Vasu Sharma; Adriana Romero-Soriano (CVPR, 2024)

Stochastic positional embeddings improve masked image modeling. - Amir Bar; Florian Bordes; Assaf Shocher; Mido Assran; Pascal Vincent; Nicolas Ballas; Trevor Darrell; Amir Globerson; Yann LeCun (ICML, 2024)

Measuring Dejavu Memorization Efficiently. - Narine Kokhlikyan; Bargav Jayaraman; Florian Bordes; Chuan Guo 001; Kamalika Chaudhuri (NeurIPS, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. - Xiaoqian Shen; Yunyang Xiong; Changsheng Zhao 002; Lemeng Wu; Jun Chen 021; Chenchen Zhu; Zechun Liu; Fanyi Xiao; Balakrishnan Varadarajan; Florian Bordes; Zhuang Liu; Hu Xu 001; et al. (CoRR, 2024)

Feedback-guided Data Synthesis for Imbalanced Classification. - Reyhane Askari Hemmat; Mohammad Pezeshki; Florian Bordes; Michal Drozdzal; Adriana Romero-Soriano (Trans. Mach. Learn. Res., 2024)

Object-centric Binding in Contrastive Language-Image Pretraining. - Rim Assouel; Pietro Astolfi; Florian Bordes; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2025)

Improving the Scaling Laws of Synthetic Data with Deliberate Practice. - Reyhane Askari Hemmat; Mohammad Pezeshki; Elvis Dohmatob; Florian Bordes; Pietro Astolfi; Melissa Hall; Jakob Verbeek; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2025)

Measuring Déjà vu Memorization Efficiently. - Narine Kokhlikyan; Bargav Jayaraman; Florian Bordes; Chuan Guo 001; Kamalika Chaudhuri (CoRR, 2025)

IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments. - Florian Bordes; Quentin Garrido; Justine T. Kao; Adina Williams; Michael Rabbat; Emmanuel Dupoux (CoRR, 2025)