Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?

Author:

Chhipa Prakash Chandra1,Rodahl Holmgren Johan1,De Kanjar1,Saini Rajkumar1,Liwicki Marcus1

Affiliation:

1. Luleå Tekniska Universitet,Machine Learning Group, EISLAB,Luleå,Sweden

Publisher

IEEE

Reference41 articles.

1. Vicreg: Variance-invariance-covariance regularization for self-supervised learning;Bardes,2021

2. Vicreg: Variance-invariance-covariance regularization for self-supervised learning;Bardes;ICLR,2022

3. Mobyv2: Self-supervised active learning for image classification;Caramalau

4. Deep Clustering for Unsupervised Learning of Visual Features

5. Unsupervised learning of visual features by contrasting cluster assignments;Caron;Advances in neural information processing systems,2020

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