Published in the blogpost track of the ELLIS Workshop on Geometry-grounded Representation Learning and Generative Modeling at ICML 2024. Written by Patrick Feeney and Michael C. Hughes.

Contrastive learning encompasses a variety of methods that learn a constrained embedding space to solve a task. The embedding space is constrained such …

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