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20152021
most citedHyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction

4 citations · 10 across the 13 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.LG2019

Network Parameter Learning Using Nonlinear Transforms, Local Representation Goals and Local Propagation Constraints

Dimche Kostadinov, Behrooz Razdehi, Slava Voloshynovskiy

In this paper, we introduce a novel concept for learning of the parameters in a neural network. Our idea is grounded on modeling a learning problem that addresses a trade-off betwe…

cs.LG2019

Clustering with Jointly Learned Nonlinear Transforms Over Discriminating Min-Max Similarity/Dissimilarity Assignment

Dimche Kostadinov, Behrooz Razeghi, Taras Holotyak +1

This paper presents a novel clustering concept that is based on jointly learned nonlinear transforms (NTs) with priors on the information loss and the discrimination. We introduce…