Quentin Garrido | DeepAI

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∙ 07/11/2023

Self-Supervised Learning with Lie Symmetries for Partial Differential Equations

Machine learning for differential equations paves the way for computatio...

0 Grégoire Mialon, et al. ∙

∙ 04/24/2023

A Cookbook of Self-Supervised Learning

Self-supervised learning, dubbed the dark matter of intelligence, is a p...

0 Randall Balestriero, et al. ∙

∙ 10/24/2022

The Robustness Limits of SoTA Vision Models to Natural Variation

Recent state-of-the-art vision models introduced new architectures, lear...

0 Mark Ibrahim, et al. ∙

∙ 10/05/2022

RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank

Joint-Embedding Self Supervised Learning (JE-SSL) has seen a rapid devel...

0 Quentin Garrido, et al. ∙

∙ 06/27/2022

Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head

One unexpected technique that emerged in recent years consists in traini...

33 Florian Bordes, et al. ∙

∙ 06/03/2022

On the duality between contrastive and non-contrastive self-supervised learning

Recent approaches in self-supervised learning of image representations c...

19 Quentin Garrido, et al. ∙

∙ 02/11/2021

Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder

Single cell RNA sequencing (scRNA-seq) data makes studying the developme...

0 Quentin Garrido, et al. ∙

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