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 Statistical Learning




4b3cc0d1c897ebcf71aca92a4a26ac83-Paper-Conference.pdf

Neural Information Processing Systems

More specifically,for the output features ofthe penultimate layer, for each class the within-class features converge to their means, and the means of different classes exhibit a certain tight frame structure, which is also aligned withthelastlayer'sclassifier.


1 ContextandMotivation

Neural Information Processing Systems

The coding rate can be accurately computed from finite samples of degenerate subspace-like distributions and can learn intrinsic representations in supervised, self-supervised, and unsupervised settings in a unified manner.


1 ContextandMotivation

Neural Information Processing Systems

The coding rate can be accurately computed from finite samples of degenerate subspace-like distributions and can learn intrinsic representations in supervised, self-supervised, and unsupervised settings in a unified manner.