2024
DOI: 10.3390/e26060466
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MV–MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation

Vitaliy Kinakh,
Mariia Drozdova,
Slava Voloshynovskiy

Abstract: We present a new method of self-supervised learning and knowledge distillation based on multi-views and multi-representations (MV–MR). MV–MR is based on the maximization of dependence between learnable embeddings from augmented and non-augmented views, jointly with the maximization of dependence between learnable embeddings from the augmented view and multiple non-learnable representations from the non-augmented view. We show that the proposed method can be used for efficient self-supervised classification and… Show more

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