Florian Bordes

According to our database, Florian Bordes authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

CoRR, 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, 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

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Feedback-guided Data Synthesis for Imbalanced Classification.

Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano

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

Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations.

Shashank Shekhar, Florian Bordes, Pascal Vincent, Ari Morcos

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, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, Micah Goldblum

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

Towards Democratizing Joint-Embedding Self-Supervised Learning.

Florian Bordes, Randall Balestriero, Pascal Vincent

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning.

Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari Morcos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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 G. Rabbat, Nicolas Ballas

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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.

Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas

CoRR, 2022

Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head.

Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent

CoRR, 2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

2017

Learning to Generate Samples from Noise through Infusion Training.

Florian Bordes, Sina Honari, Pascal Vincent

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Implementation Guidelines for Image Processing with Convolutional Neural Networks.

Florian Bordes, Erich Schikuta

Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media, 2016