Efficient Invariant Representation Learning Based on Cauchy-Schwarz Divergence.
In CSIR, a novel method for learning invariant representations is proposed, termed Cauchy-Schwarz invariant representation learning (CSIR), which implements CMI and MI by leveraging the classic Cauchy-Schwarz divergence without the need for extra neural networks.