8 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski, Mijung Park
We introduce Dirichlet pruning, a novel post-processing technique to transform a large neural network model into a compressed one. Dirichlet pruning is a form of structured pruning…
cs.LG2019★ 2 cited
Neuron ranking -- an informed way to condense convolutional neural networks architecture
Kamil Adamczewski, Mijung Park
Convolutional neural networks (CNNs) in recent years have made a dramatic impact in science, technology and industry, yet the theoretical mechanism of CNN architecture design remai…
stat.ML2019★ 8 cited
Radial and Directional Posteriors for Bayesian Neural Networks
Changyong Oh, Kamil Adamczewski, Mijung Park
We propose a new variational family for Bayesian neural networks. We decompose the variational posterior into two components, where the radial component captures the strength of ea…