Bordes, Florian

19 publications

ICML 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

ICML 2025 LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra

NeurIPS 2025 Object-Centric Binding in Contrastive Language-Image Pretraining Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

NeurIPS 2025 What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes Candace Ross, Florian Bordes, Adina Williams, Polina Kirichenko, Mark Ibrahim

CVPR 2024 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

NeurIPSW 2024 Deliberate Practice with Synthetic Data Reyhane Askari-Hemmat, Mohammad Pezeshki, Pietro Astolfi, Melissa Hall, Florian Bordes, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano

TMLR 2024 Feedback-Guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

NeurIPS 2024 Measuring Dejavu Memorization Efficiently Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri

NeurIPSW 2024 OC-CLIP : Object-Centric Binding in Contrastive Language-Image Pretraining Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

ICML 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

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

NeurIPSW 2023 Feedback-Guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

TMLR 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

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

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

ICLR 2023 The Hidden Uniform Cluster Prior in Self-Supervised Learning Mido Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael Rabbat, Nicolas Ballas

TMLR 2022 High Fidelity Visualization of What Your Self-Supervised Representation Knows About Florian Bordes, Randall Balestriero, Pascal Vincent

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

ICLR 2017 Learning to Generate Samples from Noise Through Infusion Training Florian Bordes, Sina Honari, Pascal Vincent