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10/10/2022
Efficient NTK using Dimensionality Reduction
Recently, neural tangent kernel (NTK) has been used to explain the dynam...
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07/17/2020
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice
Fast Fourier transform, Wavelets, and other well-known transforms in sig...
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07/17/2019
Interesting Open Problem Related to Complexity of Computing the Fourier Transform and Group Theory
The Fourier Transform is one of the most important linear transformation...
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12/19/2017
Approximate Correlation Clustering Using Same-Cluster Queries
Ashtiani et al. (NIPS 2016) introduced a semi-supervised framework for c...
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10/02/2016
Deep unsupervised learning through spatial contrasting
Convolutional networks have marked their place over the last few years a...
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12/20/2014
Deep metric learning using Triplet network
Deep learning has proven itself as a successful set of models for learni...
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08/30/2013
Online Ranking: Discrete Choice, Spearman Correlation and Other Feedback
Given a set V of n objects, an online ranking system outputs at each tim...
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02/19/2013