Yucen Luo

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation	2023	Zhijie Deng Yucen Luo
+	Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation	2023	Zhijie Deng Yucen Luo
+	Spectral Representation Learning for Conditional Moment Models	2022	Ziyu Wang Yucen Luo Yueru Li Jun Zhu Bernhard Schölkopf
+	Iterative Teaching by Data Hallucination	2022	Zeju Qiu Weiyang Liu Tim Z. Xiao Zhen Liu Umang Bhatt Yucen Luo Adrian Weller Bernhard Schölkopf
+	Learning Counterfactually Invariant Predictors	2022	Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus
+	SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models	2020	Yucen Luo Alex Beatson Mohammad Norouzi Jun Zhu David Duvenaud Ryan P. Adams Ricky T. Q. Chen
+	SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models	2020	Yucen Luo Alex Beatson Mohammad Norouzi Jun Zhu David Duvenaud Ryan P. Adams Ricky T. Q. Chen
+	DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures	2019	Zhijie Deng Yucen Luo Jun Zhu Bo Zhang
+ PDF Chat	Cluster Alignment With a Teacher for Unsupervised Domain Adaptation	2019	Zhijie Deng Yucen Luo Jun Zhu
+	A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels	2019	Yucen Luo Jun Zhu Tomas Pfister
+	Cluster Alignment with a Teacher for Unsupervised Domain Adaptation	2019	Zhijie Deng Yucen Luo Jun Zhu
+	A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels	2019	Yucen Luo Jun Zhu Tomas Pfister
+	Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	2019	Zhijie Deng Yucen Luo Jun Zhu Bo Zhang
+	Semi-crowdsourced Clustering with Deep Generative Models	2018	Yucen Luo Tian Tian Jiaxin Shi Jun Zhu Bo Zhang
+ PDF Chat	Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning	2018	Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang
+	Semi-crowdsourced Clustering with Deep Generative Models	2018	Yucen Luo Tian Tian Jiaxin Shi Junxing Zhu Bo Zhang
+	ZhuSuan: A Library for Bayesian Deep Learning	2017	Jiaxin Shi Jianfei Chen Jun Zhu Shengyang Sun Yucen Luo Yihong Gu Yuhao Zhou
+	Smooth Neighbors on Teacher Graphs for Semi-supervised Learning	2017	Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang
+	Conditional Generative Moment-Matching Networks	2016	Yong Ren Jialian Li Yucen Luo Jun Zhu
+	Conditional Generative Moment-Matching Networks	2016	Yong Ren Jun Zhu Jialian Li Yucen Luo

Common Coauthors

Coauthor	Papers Together
Jun Zhu	10
Zhijie Deng	6
Yong Ren	4
Jiaxin Shi	3
Jun Zhu	2
Tomas Pfister	2
Bo Zhang	2
Bernhard Schölkopf	2
Mengxi Li	2
Alex Beatson	2
Jialian Li	2
Mohammad Norouzi	2
Ricky T. Q. Chen	2
Jun Zhu	2
Tian Tian	2
David Duvenaud	2
Ryan P. Adams	2
Bo Zhang	1
Shengyang Sun	1
Weiyang Liu	1
Yueru Li	1
Niki Kilbertus	1
Zeju Qiu	1
Yihong Gu	1
Umang Bhatt	1
Krikamol Muandet	1
Tim Z. Xiao	1
Adrian Weller	1
Junxing Zhu	1
Francesco Quinzan	1
Yuhao Zhou	1
Cecilia Casolo	1
Bo Zhang	1
Bo Zhang	1
Bo Zhang	1
Zhen Liu	1
Ziyu Wang	1
Jianfei Chen	1
Jun Zhu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	6
+	Temporal Ensembling for Semi-Supervised Learning	2016	Samuli Laine Timo Aila	5
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	3
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	3
+	Generative Moment Matching Networks	2015	Yujia Li Kevin Swersky Rich Zemel	3
+ PDF Chat	Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning	2018	Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang	3
+	Importance Weighted Autoencoders	2015	Yuri Burda Roger Grosse Ruslan Salakhutdinov	3
+	Training Deep Neural Networks on Noisy Labels with Bootstrapping	2014	Scott Reed Honglak Lee Dragomir Anguelov Christian Szegedy Dumitru Erhan Andrew Rabinovich	3
+ PDF Chat	A new approach to unbiased estimation for SDE's	2012	Chang-Han Rhee Peter W. Glynn	2
+	On the Convergence of Adam and Beyond	2019	Sashank J. Reddi Satyen Kale Sanjiv Kumar	2
+	Hierarchical Importance Weighted Autoencoders	2019	Chin-Wei Huang Kris Sankaran Eeshan Gunesh Dhekane Alexandre Lacoste Aaron Courville	2
+	Stochastic Chebyshev Gradient Descent for Spectral Optimization	2018	In‐Su Han Haim Avron Jinwoo Shin	2
+	Discrete Flows: Invertible Generative Models of Discrete Data	2019	Dustin Tran Keyon Vafa Kumar Krishna Agrawal Laurent Dinh Ben Poole	2
+	One-Shot Generalization in Deep Generative Models	2016	Danilo Jimenez Rezende Shakir Mohamed Ivo Danihelka Karol Gregor Daan Wierstra	2
+	Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation	2012	Yuan Shi Fei Sha	2
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	2
+	Deep Domain Confusion: Maximizing for Domain Invariance	2014	Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell	2
+ PDF Chat	Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation	2016	Muhammad Ghifary W. Bastiaan Kleijn Mengjie Zhang David Balduzzi Wen Li	2
+	Asymmetric Tri-training for Unsupervised Domain Adaptation	2017	Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada	2
+	Composing graphical models with neural networks for structured representations and fast inference	2016	Matthew Johnson David Duvenaud Alexander B. Wiltschko Sandeep Robert Datta Ryan P. Adams	2
+	Markov Chain Truncation for Doubly-Intractable Inference	2016	Colin Wei Iain Murray	2
+ PDF Chat	Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks	2017	Konstantinos Bousmalis Nathan Silberman David Dohan Dumitru Erhan Dilip Krishnan	2
+	Unbiasing Truncated Backpropagation Through Time	2017	Yann Ollivier Corentin Tallec	2
+	Unbiased Markov chain Monte Carlo with couplings	2017	Pierre Jacob John R. O’Leary Yves F. Atchadé	2
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	2
+	Unbiased monte carlo evaluation of certain functional integrals	1987	Wolfgang Wagner	2
+	Bayesian Dark Knowledge	2015	Anoop Korattikara Vivek Rathod Kevin J. Murphy Max Welling	2
+	Unbiased nonparametric estimation of the derivative of the mean	1990	Tomasz Rychlik	2
+ PDF Chat	Particle Filters for Partially Observed Diffusions	2008	Paul Fearnhead Omiros Papaspiliopoulos Gareth O. Roberts	2
+	Variational Russian Roulette for Deep Bayesian Nonparametrics	2019	Kai Xu Akash Srivastava Charles Sutton	2
+	Adversarially Learned Inference	2016	Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville	2
+	Learning with Pseudo-Ensembles	2014	Phil Bachman Ouais Alsharif Doina Precup	2
+	Overdispersed black-box variational inference	2016	Francisco J. R. Ruiz Michalis K. Titsias David M. Blei	2
+	Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning	2016	Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Taşdizen	2
+	Approximate Bayesian Inference with the Weighted Likelihood Bootstrap	1994	Michael A. Newton Adrian E. Raftery	2
+	Unbiased Estimation with Square Root Convergence for SDE Models	2015	Chang-Han Rhee Peter W. Glynn	2
+	None	2001	Radford M. Neal	2
+	Evaluating probabilities under high-dimensional latent variable models	2008	Iain Murray Ruslan Salakhutdinov	2
+	Expectation Propagation for approximate Bayesian inference	2013	Thomas P. Minka	2
+	Stochastic variational inference	2013	Matthew D. Hoffman David M. Blei Chong Wang John Paisley	2
+	Bayesian Learning via Stochastic Gradient Langevin Dynamics	2011	Max Welling Yee Whye Teh	2
+ PDF Chat	Nested sampling for general Bayesian computation	2006	John Skilling	2
+	Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks	2015	Jost Tobias Springenberg	2
+	Simulation Pseudo-Bias Correction to the Harmonic Mean Estimator of Integrated Likelihoods	2009	Peter Lenk	2
+ PDF Chat	Marginal Likelihood from the Gibbs Output	1995	Siddhartha Chib	2
+	Unsupervised Domain Adaptation with Residual Transfer Networks	2016	Mingsheng Long Zhu Han Jianmin Wang Michael I. Jordan	2
+ PDF Chat	A class of unbiased kernel estimates of a probability density function	1995	Tomasz Rychlik	2
+	Good Semi-supervised Learning that Requires a Bad GAN	2017	Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov	2
+ PDF Chat	Associative Domain Adaptation	2017	Philip Haeusser Thomas Frerix Alexander Mordvintsev Daniel Cremers	2
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	2