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Dipan Pal

1 accepted papers

2017

Max-Margin Invariant Features from Transformed Unlabelled Data

NeurIPS 2017poster

The study of representations invariant to common transformations of the data is important to learning. Most techniques have focused on local approximate invariance implemented within expensive optimization frameworks lacking explicit theoretical guarantees. In this paper, we study kernels that are i…

Cited by 8SourcePDFScholar