Gyemin Lee

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All published works

Action	Title	Year	Authors
+ PDF Chat	Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation	2023	JoonHo Lee Gyemin Lee
+ PDF Chat	Unsupervised domain adaptation based on the predictive uncertainty of models	2022	JoonHo Lee Gyemin Lee
+	Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation	2022	JoonHo Lee Gyemin Lee
+	Unsupervised Domain Adaptation Based on the Predictive Uncertainty of Models	2022	JoonHo Lee Gyemin Lee
+	Domain Generalization by Marginal Transfer Learning	2017	Gilles Blanchard Aniket Anand Deshmukh Ürün Doǧan Gyemin Lee Clayton Scott
+ PDF Chat	EM algorithms for multivariate Gaussian mixture models with truncated and censored data	2012	Gyemin Lee Clayton Scott
+ PDF Chat	Statistical file matching of flow cytometry data	2011	Gyemin Lee William G. Finn Clayton Scott
+	Statistical File Matching of Flow Cytometry Data	2010	Gyemin Lee William G. Finn Clayton Scott
+	Statistical File Matching of Flow Cytometry Data	2010	Gyemin Lee W. D. Liam Finn Clayton Scott
+ PDF Chat	The One Class Support Vector Machine Solution Path	2007	Gyemin Lee Clayton Scott

Common Coauthors

Coauthor	Papers Together
Clayton Scott	6
JoonHo Lee	4
William G. Finn	2
W. D. Liam Finn	1
Gilles Blanchard	1
Ürün Doǧan	1
Aniket Anand Deshmukh	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Statistical mixture modeling for cell subtype identification in flow cytometry	2008	Cliburn Chan Feng Feng Janet Ottinger David V. Foster Mike West Thomas B. Kepler	3
+ PDF Chat	Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation	2019	Ruijia Xu Guanbin Li Jihan Yang Liang Lin	2
+ PDF Chat	Semi-Supervised Domain Adaptation via Minimax Entropy	2019	Kuniaki Saito Donghyun Kim Stan Sclaroff Trevor Darrell Kate Saenko	2
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	2
+ PDF Chat	Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach	2019	Minyoung Kim Pritish Sahu Behnam Gholami Vladimir Pavlović	2
+	Supervised learning from incomplete data via an EM approach	1993	Zoubin Ghahramani Michael I. Jordan	2
+ PDF Chat	DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation	2018	Bharath Bhushan Damodaran Benjamin Kellenberger Rémi Flamary Devis Tuia Nicolas Courty	2
+ PDF Chat	Maximum Classifier Discrepancy for Unsupervised Domain Adaptation	2018	Kuniaki Saito Kohei Watanabe Yoshitaka Ushiku Tatsuya Harada	2
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	2
+ PDF Chat	Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift	2018	Ruijia Xu Ziliang Chen Wangmeng Zuo Junjie Yan Liang Lin	2
+	Statistical Analysis With Missing Data	1989	Maureen Lahiff Roderick J. A. Little Donald B. Rubin	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Domain Adaptive Ensemble Learning	2021	Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang	2
+ PDF Chat	Moment Matching for Multi-Source Domain Adaptation	2019	Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang	2
+ PDF Chat	Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation	2019	Chen‐Yu Lee Tanmay Batra Mohammad Haris Baig Daniel Ulbricht	2
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	1
+	Numerical computation of rectangular bivariate and trivariate normal and t probabilities	2004	Alan Genz	1
+	A stochastic EM algorithm for mixtures with censored data	1995	Didier Chauveau	1
+	Rademacher penalties and structural risk minimization	2001	Vladimir Koltchinskii	1
+	Fitting Mixture Models to Grouped and Truncated Data via the EM Algorithm	1988	Geoffrey J. McLachlan P. N. Jones	1
+	A Least-squares Approach to Direct Importance Estimation	2009	Takafumi Kanamori Shohei Hido Masashi Sugiyama	1
+ PDF Chat	Information Preserving Component Analysis: Data Projections for Flow Cytometry Analysis	2009	Kevin M. Carter Raviv Raich William G. Finn Alfred O. Hero	1
+	The performance of standard and hybrid em algorithms for ml estimates of the normal mixture model with censoring	1992	Scott E. Atkinson	1
+	Hilbert Space Embeddings and Metrics on Probability Measures	2010	Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert Lanckriet	1
+ PDF Chat	A Kernel Method for the Two-Sample-Problem	2007	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	1
+ PDF Chat	Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching	2012	Marthinus Du Plessis Masashi Sugiyama	1
+	Consistency and Convergence Rates of One-Class SVMs and Related Algorithms	2006	Régis Vert Jean‐Philippe Vert	1
+	Learning Minimum Volume Sets	2005	Clayton Scott Robert D. Nowak	1
+ PDF Chat	FINE: Fisher Information Nonparametric Embedding	2009	K.M. Carter Raviv Raich William G. Finn Alfred O. Hero	1
+	Domain Generalization via Invariant Feature Representation	2013	Krikamol Muandet David Balduzzi Bernhard Sch lkopf	1
+ PDF Chat	None	2002	Igor V. Cadez Padhraic Smyth Geoffrey J. McLachlan Christine E. McLaren	1
+	On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning	2005	Petros Drineas Michael W. Mahoney	1
+ PDF Chat	Probability Measures on Metric Spaces.	1968	Б. Л. С. Пракаса Рао K. R. Parthasarathy	1
+	Optimal rates for Random Fourier features	2015	Bharath K. Sriperumbudur Zoltán Szabó	1
+ PDF Chat	Simultaneous Deep Transfer Across Domains and Tasks	2015	Eric Tzeng Judy Hoffman Trevor Darrell Kate Saenko	1
+	The benefit of multitask representation learning	2016	Andreas Maurer Massimiliano Pontil Bernardino Romera‐Paredes	1
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	1
+ PDF Chat	Learning Attributes Equals Multi-Source Domain Generalization	2016	Chuang Gan Tianbao Yang Boqing Gong	1
+ PDF Chat	Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation	2016	Muhammad Ghifary W. Bastiaan Kleijn Mengjie Zhang David Balduzzi Wen Li	1
+	On the Non-Parametric Estimation of Mixture Proportions	1981	Peter Hall	1
+	An Introduction to the Theory of Point Processes : Volume I: Elementary Theory and Methods	2003	D. J. Daley D. Vere‐Jones	1
+ PDF Chat	Learning Minimum Volume Sets with Support Vector Machines	2006	Mark A. Davenport Richard G. Baraniuk Clayton Scott	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+ PDF Chat	Generate to Adapt: Aligning Domains Using Generative Adversarial Networks	2018	Swami Sankaranarayanan Yogesh Balaji Carlos D. Castillo Rama Chellappa	1
+ PDF Chat	Deep Hashing Network for Unsupervised Domain Adaptation	2017	Hemanth Venkateswara José Eusébio Shayok Chakraborty Sethuraman Panchanathan	1
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	1
+ PDF Chat	Deeper, Broader and Artier Domain Generalization	2017	Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales	1
+ PDF Chat	Multi-Adversarial Domain Adaptation	2018	Zhongyi Pei Zhangjie Cao Mingsheng Long Jianmin Wang	1
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	1
+	Minimum Distance Non-Parametric Estimation of Mixture Proportions	1983	D. M. Titterington	1