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Journal Articles
- 2023
[j2]Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent:
Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning. Trans. Mach. Learn. Res. 2023 (2023)- 2022
- [j1]Florian Bordes, Randall Balestriero, Pascal Vincent:
High Fidelity Visualization of What Your Self-Supervised Representation Knows About. Trans. Mach. Learn. Res. 2022 (2022)
Conference and Workshop Papers
- 2024
- [c8]Jack Urbanek, Florian Bordes, Pietro Astolfi, Mary Williamson, Vasu Sharma, Adriana Romero-Soriano:
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions. CVPR 2024: 26690-26699 - [c7]Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun:
Stochastic positional embeddings improve masked image modeling. ICML 2024 - 2023
- [c6]Mido Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas:
The hidden uniform cluster prior in self-supervised learning. ICLR 2023 - [c5]Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari Morcos:
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning. NeurIPS 2023 - [c4]Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo:
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning. NeurIPS 2023 - 2022
- [c3]Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas:
Masked Siamese Networks for Label-Efficient Learning. ECCV (31) 2022: 456-473 - 2017
- [c2]Florian Bordes, Sina Honari, Pascal Vincent:
Learning to Generate Samples from Noise through Infusion Training. ICLR (Poster) 2017 - 2016
- [c1]Florian Bordes, Erich Schikuta:
Implementation Guidelines for Image Processing with Convolutional Neural Networks. MoMM 2016: 337-341
Informal and Other Publications
- 2024
- [i15]Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra:
An Introduction to Vision-Language Modeling. CoRR abs/2405.17247 (2024) - 2023
- [i14]Florian Bordes, Randall Balestriero, Pascal Vincent:
Towards Democratizing Joint-Embedding Self-Supervised Learning. CoRR abs/2303.01986 (2023) - [i13]Florian Bordes, Samuel Lavoie, Randall Balestriero, Nicolas Ballas, Pascal Vincent:
A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation. CoRR abs/2304.05369 (2023) - [i12]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, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, Micah Goldblum:
A Cookbook of Self-Supervised Learning. CoRR abs/2304.12210 (2023) - [i11]Shashank Shekhar, Florian Bordes, Pascal Vincent, Ari Morcos:
Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations. CoRR abs/2304.13089 (2023) - [i10]Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo:
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning. CoRR abs/2304.13850 (2023) - [i9]Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun:
Predicting masked tokens in stochastic locations improves masked image modeling. CoRR abs/2308.00566 (2023) - [i8]Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari S. Morcos:
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning. CoRR abs/2308.03977 (2023) - [i7]Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano:
Feedback-guided Data Synthesis for Imbalanced Classification. CoRR abs/2310.00158 (2023) - [i6]Jack Urbanek, Florian Bordes, Pietro Astolfi, Mary Williamson, Vasu Sharma, Adriana Romero-Soriano:
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions. CoRR abs/2312.08578 (2023) - 2022
- [i5]Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas:
Masked Siamese Networks for Label-Efficient Learning. CoRR abs/2204.07141 (2022) - [i4]Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent:
Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head. CoRR abs/2206.13378 (2022) - [i3]Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas:
The Hidden Uniform Cluster Prior in Self-Supervised Learning. CoRR abs/2210.07277 (2022) - 2021
- [i2]Florian Bordes, Randall Balestriero, Pascal Vincent:
High Fidelity Visualization of What Your Self-Supervised Representation Knows About. CoRR abs/2112.09164 (2021) - 2017
- [i1]Florian Bordes, Sina Honari, Pascal Vincent:
Learning to Generate Samples from Noise through Infusion Training. CoRR abs/1703.06975 (2017)
Coauthor Index
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