Florian Bordes

发表

Learning to Generate Samples from Noise through Infusion Training pdf

Sina Honari, Pascal Vincent, Florian Bordes, 2017, ICLR.

Learning to sample from noise with deep generative models

Florian Bordes, 2017 .

Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head

Pascal Vincent, Randall Balestriero, Florian Bordes, 2022, ArXiv.

High Fidelity Visualization of What Your Self-Supervised Representation Knows About

Pascal Vincent, Randall Balestriero, Florian Bordes, 2021, Trans. Mach. Learn. Res..

The Hidden Uniform Cluster Prior in Self-Supervised Learning

Michael G. Rabbat, Pascal Vincent, Nicolas Ballas, 2022, ICLR.

Masked Siamese Networks for Label-Efficient Learning

Michael G. Rabbat, Pascal Vincent, Nicolas Ballas, 2022, ECCV.

A Cookbook of Self-Supervised Learning

Ari S. Morcos, Yann LeCun, H. Pirsiavash, 2023, ArXiv.

A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation

Pascal Vincent, Nicolas Ballas, Randall Balestriero, 2023, ArXiv.

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

Ari S. Morcos, Pascal Vincent, Florian Bordes, 2023, ArXiv.

L EARNING TO G ENERATE S AMPLES FROM N OISE THROUGH I NFUSION T RAINING

Pascal Vincent, Florian Bordes, S. Honari, 2021 .

Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning

Kamalika Chaudhuri, Pascal Vincent, Florian Bordes, 2023, ArXiv.

Towards Democratizing Joint-Embedding Self-Supervised Learning

Pascal Vincent, Randall Balestriero, Florian Bordes, 2023, arXiv.org.

A Cookbook of Self-Supervised Learning

Ari S. Morcos, Yann LeCun, H. Pirsiavash, 2023, ArXiv.

Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning

Pascal Vincent, Randall Balestriero, Florian Bordes, 2022, Trans. Mach. Learn. Res..

PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning

Ari S. Morcos, Pascal Vincent, Diane Bouchacourt, 2023, ArXiv.

Iteratively unveiling new regions of interest in Deep Learning models

Pascal Vincent, Yoshua Bengio, Florian Bordes, 2018 .

Predicting masked tokens in stochastic locations improves masked image modeling

Yann LeCun, Trevor Darrell, Nicolas Ballas, 2023, ArXiv.

Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning

Kamalika Chaudhuri, Pascal Vincent, Florian Bordes, 2023, ArXiv.