Yann LeCun’s Latest Offering - Barlow’s Twin

Yann LeCun’s Latest Offering - Barlow’s Twin

Barlow Twins is an objective function that avoids collapse by measuring the cross-correlation matrix between the output of two identical networks fed with distorted versions.

Self-supervised learning (SSL) has become a handy technique in computer vision tasks. Significant advances in SSL means its methods can now learn representations even if the input samples are distorted. Also referred to as ‘data augmentations’, this is made possible by maximising the similarity of representations extracted from different distorted versions of a sample.

Read more: https://analyticsindiamag.com/yann-lecuns-latest-offering-barlows-twin/

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