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Florian Bordes
Florian Bordes
Meta, FAIR
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Title
Cited by
Cited by
Year
Masked siamese networks for label-efficient learning
M Assran, M Caron, I Misra, P Bojanowski, F Bordes, P Vincent, A Joulin, ...
European Conference on Computer Vision, 456-473, 2022
2482022
A Cookbook of Self-Supervised Learning,(2023)
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
arXiv preprint arXiv:2304.12210, 0
63*
High fidelity visualization of what your self-supervised representation knows about
F Bordes, R Balestriero, P Vincent
Transactions of Machine Learning Research (TMLR), 2022
502022
Learning to generate samples from noise through infusion training
F Bordes, S Honari, P Vincent
ICLR - International Conference on Learning Representations, 2017
46*2017
Guillotine regularization: Why removing layers is needed to improve generalization in self-supervised learning
F Bordes, R Balestriero, Q Garrido, A Bardes, P Vincent
Transactions of Machine Learning Research (TMLR), 2022
33*2022
The hidden uniform cluster prior in self-supervised learning
M Assran, R Balestriero, Q Duval, F Bordes, I Misra, P Bojanowski, ...
ICLR - International Conference on Learning Representations, 2022
322022
Towards democratizing joint-embedding self-supervised learning
F Bordes, R Balestriero, P Vincent
arXiv preprint arXiv:2303.01986, 2023
162023
Pug: Photorealistic and semantically controllable synthetic data for representation learning
F Bordes, S Shekhar, M Ibrahim, D Bouchacourt, P Vincent, A Morcos
Advances in Neural Information Processing Systems 36, 2024
122024
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
C Meehan, F Bordes, P Vincent, K Chaudhuri, C Guo
Advances in Neural Information Processing Systems 36, 2024
102024
Objectives matter: Understanding the impact of self-supervised objectives on vision transformer representations
S Shekhar, F Bordes, P Vincent, A Morcos
arXiv preprint arXiv:2304.13089, 2023
102023
A picture is worth more than 77 text tokens: Evaluating clip-style models on dense captions
J Urbanek, F Bordes, P Astolfi, M Williamson, V Sharma, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
52024
Feedback-guided Data Synthesis for Imbalanced Classification
R Askari Hemmat, M Pezeshki, F Bordes, M Drozdzal, A Romero-Soriano
arXiv e-prints, arXiv: 2310.00158, 2023
5*2023
An introduction to vision-language modeling
F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ...
arXiv preprint arXiv:2405.17247, 2024
32024
Iteratively unveiling new regions of interest in deep learning models
F Bordes, T Berthier, L Di Jorio, P Vincent, Y Bengio
Medical Imaging with Deep Learning, 2018
32018
A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation
F Bordes, S Lavoie, R Balestriero, N Ballas, P Vincent
arXiv preprint arXiv:2304.05369, 2023
22023
Evaluation of generative networks through their data augmentation capacity
T Lesort, F Bordes, JF Goudou, D Filliat
22018
Finer grained evaluation methods for better understanding of deep neural network representations
F Bordes
2024
Predicting masked tokens in stochastic locations improves masked image modeling
A Bar, F Bordes, A Shocher, M Assran, P Vincent, N Ballas, T Darrell, ...
arXiv preprint arXiv:2308.00566, 2023
2023
Learning to sample from noise with deep generative models
F Bordes
2017
Stochastic positional embeddings improve masked image modeling
A Bar, F Bordes, A Shocher, M Assran, P Vincent, N Ballas, T Darrell, ...
Forty-first International Conference on Machine Learning, 0
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Articles 1–20