Search Results for author: Chung Chan

Found 4 papers, 1 papers with code

Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning

no code implementations29 Sep 2021 Junyu Chen, Evren Asma, Chung Chan

In this study, we present Targeted Gradient Descent (TGD), a novel fine-tuning method that can extend a pre-trained network to a new task without revisiting data from the previous task while preserving the knowledge acquired from previous training.

Image Denoising

Neural Entropic Estimation: A faster path to mutual information estimation

1 code implementation30 May 2019 Chung Chan, Ali Al-Bashabsheh, Hing Pang Huang, Michael Lim, Da Sun Handason Tam, Chao Zhao

In particular, we show that MI-NEE reduces to MINE in the special case when the reference distribution is the product of marginal distributions, but faster convergence is possible by choosing the uniform distribution as the reference distribution instead.

Mutual Information Estimation

Agglomerative Info-Clustering

no code implementations18 Jan 2017 Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou

An agglomerative clustering of random variables is proposed, where clusters of random variables sharing the maximum amount of multivariate mutual information are merged successively to form larger clusters.


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