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While many recently proposed self-supervised learning algorithms prevent a collapse of the embedding-space implicitly through various methods like contrasting samples in a batch [SimCLR] or clustering [SwAV], VICReg explicitly regularizes the embedding-space with three terms:
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MORE IDEAS ON THIS
Good representations are expressive and make efficient use of the given dimensionality.
We want the representations to be variant to contextual changes that are essential to a task and invariant to changes related to factors that we cannot control nor care about.
While these invarian...
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Labelled data is expensive, which makes benefiting from the current success in supervised learning unfeasible for smaller companies.
However, good representations can be learned without any task-specific information from raw data.
In self-supervised learning, labels are generated art...
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