selfsupervised
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Self-supervised representation learning on videos
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Nowadays, transfer learning from pretrained models on Imagenet is the ultimate standard in computer vision. Self-supervised learning dominates natural ...

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Combining contrastive learning and masked language modeling for self-supervised speech pre-training
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Motivated by the success of masked language modeling (MLM) in pre-training natural language processing models, ...

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Grokking self-supervised (representation) learning: how it works in computer vision and why
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Self-Supervised Learning (SSL) is a pre-training alternative to transfer learning. Even though SSL emerged from massive NLP datasets, it has also shown ...

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Understanding SWAV: self-supervised learning with contrasting cluster assignments
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Self-supervised learning aims to extract representation from unsupervised visual data and it’s super famous in computer vision nowadays. This article covers ...

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Self-supervised learning tutorial: Implementing SimCLR with pytorch lightning
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In this hands-on tutorial, we will provide you with a reimplementation of SimCLR self-supervised learning method for pretraining robust feature extractors. ...

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On the Stepwise Nature of Self-Supervised Learning – The Berkeley Artificial Intelligence Research Blog
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Figure 1: stepwise behavior in self-supervised learning. When training common SSL algorithms, we find that the loss descends in a stepwise ...

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BYOL tutorial: self-supervised learning on CIFAR images with code in Pytorch
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After presenting SimCLR, a contrastive self-supervised learning framework, I decided to demonstrate another infamous method, called BYOL. Bootstrap Your Own ...

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