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Sharp Learning Bounds for Contrastive Unsupervised Representation Learning


Oct 06, 2021
Han Bao, Yoshihiro Nagano, Kento Nozawa


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Similarity-based Classification: Connecting Similarity Learning to Binary Classification


Jun 11, 2020
Han Bao, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama

* 22 pages 

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Calibrated Surrogate Losses for Adversarially Robust Classification


May 28, 2020
Han Bao, Clayton Scott, Masashi Sugiyama

* COLT2020 (to appear); 43 pages, 21 figures 

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Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data


May 07, 2020
Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang

* This paper has been submitted to International Journal of Multi-phase Flow 

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Learning from Noisy Similar and Dissimilar Data


Feb 03, 2020
Soham Dan, Han Bao, Masashi Sugiyama

* 8 pages 

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Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation


Jan 06, 2020
Han Bao, Nam Dinh, Linyu Lin, Robert Youngblood, Jeffrey Lane, Hongbin Zhang

* 24 pages, 10 tables, 12 figures. This manuscript has been submitted to Annuals of Nuclear Energy 

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Investigations of the Influences of a CNN's Receptive Field on Segmentation of Subnuclei of Bilateral Amygdalae


Nov 07, 2019
Han Bao

* 16 pages, 10 figures, ADEIJ journal 

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Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning


Oct 17, 2019
Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang

* This paper is under review of International Journal of Multi-phase Flow 

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A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images


Jul 03, 2019
Yanyuet Man, Xiangyun Ding, Xingcheng Yao, Han Bao


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Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification


May 29, 2019
Han Bao, Masashi Sugiyama

* under review 

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Classification from Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization


Apr 26, 2019
Takuya Shimada, Han Bao, Issei Sato, Masashi Sugiyama


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Imitation Learning from Imperfect Demonstration


Jan 30, 2019
Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama


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Unsupervised Domain Adaptation Based on Source-guided Discrepancy


Sep 13, 2018
Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama


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Classification from Pairwise Similarity and Unlabeled Data


Aug 15, 2018
Han Bao, Gang Niu, Masashi Sugiyama


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Convex Formulation of Multiple Instance Learning from Positive and Unlabeled Bags


May 01, 2018
Han Bao, Tomoya Sakai, Issei Sato, Masashi Sugiyama


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