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Foreword: special issue for the journal track of the 10th Asian Conference on Machine Learning (ACML 2018).

M. Sugiyama, and Y. Noh. Mach. Learn., 108 (5): 717-719 (2019)

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Choy Kyungcheol

Suk-Hun Kyung

Kyun Nahm

Gertrud Nöh

Eckhard Nöh

Other publications of authors with the same name

Efficient neural network compression via transfer learning for machine vision inspection.S. Kim, Y. Noh, and F. Park. Neurocomputing, (2020)Foreword: special issue for the journal track of the 10th Asian Conference on Machine Learning (ACML 2018).M. Sugiyama, and Y. Noh. Mach. Learn., 108 (5): 717-719 (2019)Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence.Y. Noh, M. Sugiyama, S. Liu, M. du Plessis, F. Park, and D. Lee. Neural Comput., (2018)Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers.S. Yoon, J. Choi, Y. Lee, Y. Noh, and F. Park. CoRR, (2022)k-Nearest Neighbor Classification Algorithm for Multiple Choice Sequential Sampling.Y. Noh, F. Park, and D. Lee. CogSci, cognitivesciencesociety.org, (2013)A Riemannian geometric framework for manifold learning of non-Euclidean data.C. Jang, Y. Noh, and F. Park. Adv. Data Anal. Classif., 15 (3): 673-699 (2021)K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning.J. Hamm, and Y. Noh. ICML, volume 80 of Proceedings of Machine Learning Research, page 1876-1884. PMLR, (2018)Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence.Y. Noh, M. Sugiyama, S. Liu, M. du Plessis, F. Park, and D. Lee. AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 669-677. JMLR.org, (2014)Regularized discriminant analysis for transformation-invariant object recognition.Y. Noh, J. Ham, and D. Lee. ICPR, page 1-5. IEEE Computer Society, (2008)Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models.S. Yoon, H. Hwang, D. Kwon, Y. Noh, and F. Park. CoRR, (2024)

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Disambiguation of "Noh, Yung-Kyun"

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Foreword: special issue for the journal track of the 10th Asian Conference on Machine Learning (ACML 2018).

Please choose a person to relate this publication to

Choy Kyungcheol

Suk-Hun Kyung

Kyun Nahm

Gertrud Nöh

Eckhard Nöh

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Noh, Yung-Kyun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Foreword: special issue for the journal track of the 10th Asian Conference on Machine Learning (ACML 2018).

Please choose a person to relate this publication to

Choy Kyungcheol

Suk-Hun Kyung

Kyun Nahm

Gertrud Nöh

Eckhard Nöh

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Foreword: special issue for the journal track of the 10th Asian Conference on Machine Learning (ACML 2018).