Unimodal regularized neuron stick-breaking for ordinal classification

doi:10.1016/j.neucom.2020.01.025

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	Unimodal regularized neuron stick-breaking for ordinal classification
	X. F. Liu; F. F. Fan; L. S. Kong; Z. H. Diao; W. Q. Xie; J. Lu and J. N. You
	2020
Source Publication	Neurocomputing
ISSN	0925-2312
Volume	388 Pages:34-44
Abstract	This paper targets for the ordinal regression/classification, which objective is to learn a rule to predict labels from a discrete but ordered set. For instance, the classification for medical diagnosis usually involves inherently ordered labels corresponding to the level of health risk. Previous multi-task classifiers on ordinal data often use several binary classification branches to compute a series of cumulative probabilities. However, these cumulative probabilities are not guaranteed to be monotonically decreasing. It also introduces a large number of hyper-parameters to be fine-tuned manually. This paper aims to eliminate or at least largely reduce the effects of those problems. We propose a simple yet efficient way to rephrase the output layer of the conventional deep neural network. Besides, in order to alleviate the effects of label noise in ordinal datasets, we propose a unimodal label regularization strategy. It also explicitly encourages the class predictions to distribute on nearby classes of ground truth. We show that our methods lead to the state-of-the-art accuracy on the medical diagnose task (e.g., Diabetic Retinopathy and Ultrasound Breast dataset) as well as the face age prediction (e.g., Adience face and MORPH Album II) with very little additional cost. (C) 2020 Elsevier B.V. All rights reserved.
DOI	10.1016/j.neucom.2020.01.025
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Indexed By	SCI
Language	英语
Citation statistics
Document Type	期刊论文
Identifier	http://ir.ciomp.ac.cn/handle/181722/64994
Collection	中国科学院长春光学精密机械与物理研究所
Recommended Citation GB/T 7714	X. F. Liu,F. F. Fan,L. S. Kong,et al. Unimodal regularized neuron stick-breaking for ordinal classification[J]. Neurocomputing,2020,388:34-44.
APA	X. F. Liu,F. F. Fan,L. S. Kong,Z. H. Diao,W. Q. Xie,&J. Lu and J. N. You.(2020).Unimodal regularized neuron stick-breaking for ordinal classification.Neurocomputing,388,34-44.
MLA	X. F. Liu,et al."Unimodal regularized neuron stick-breaking for ordinal classification".Neurocomputing 388(2020):34-44.

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中国科学院长春光学精密机械与物理研究所