Selection baseline · Coreset selection
Herding
Herding Dynamical Weights to Learn
Max Welling
ICML 2009 · first public 2009-01
In one paragraph
Defines herding, a deterministic weakly-chaotic dynamical system that converts a set of observed moments directly into a sequence of pseudo-samples respecting those moments, without first fitting a joint probability model over the data. Used in the coreset-selection literature as the mean-matching baseline: samples are added greedily to minimize the distance between the running average of selected samples' features and the true class-mean feature.
Where it sits
- Coreset selection (Selection)
- Setting: Image classification
BibTeX (generated; prefer the venue's official entry)
@article{welling2009herding,
title = {Herding Dynamical Weights to Learn},
author = {Max Welling},
journal = {ICML 2009},
year = {2009}
}Nearby in Coreset selection
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