v1v2v3v4 (latest)

Revisiting Classifier Two-Sample Tests

20 October 2016

Maxime Oquab

Papers citing "Revisiting Classifier Two-Sample Tests"

44 / 244 papers shown

Title
A discriminative approach for finding and characterizing positivity violations using decision trees Ehud Karavani Peter Bak Y. Shimoni 53 5 0 18 Jul 2019
Kernel Hypothesis Testing with Set-valued Data Alexis Bellot M. Schaar 235 0 0 09 Jul 2019
PathologyGAN: Learning deep representations of cancer tissueInternational Conference on Medical Imaging with Deep Learning (MIDL), 2019 A. Quiros R. Murray-Smith Ke-Fei Yuan MedIm GAN 276 91 0 04 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing FlowsIEEE International Conference on Computer Vision (ICCV), 2019 Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 370 726 0 28 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 151 128 0 23 Jun 2019
Recent Advances of Image Steganography with Generative Adversarial NetworksIEEE Access (IEEE Access), 2019 Jia-Wei Liu Yan Ke Yu-Zhou Lei Zhuo Zhang Jun Li Peng Luo Minqing Zhang Xiaoyuan Yang GAN 126 81 0 18 Jun 2019
Copulas as High-Dimensional Generative Models: Vine Copula AutoencodersNeural Information Processing Systems (NeurIPS), 2019 Natasa Tagasovska Damien Ackerer Thibault Vatter TPM 123 38 0 12 Jun 2019
Balanced off-policy evaluation in general action spacesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 A. Sondhi David Arbour Drew Dimmery OffRL 328 17 0 09 Jun 2019
Fair Division Without Disparate Impact A. Peysakhovich Christian Kroer 102 10 0 06 Jun 2019
CCMI : Classifier based Conditional Mutual Information EstimationConference on Uncertainty in Artificial Intelligence (UAI), 2019 Sudipto Mukherjee Himanshu Asnani Sreeram Kannan VLM 171 85 0 05 Jun 2019
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive SimulationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Niccolò Dalmasso Ann B. Lee Rafael Izbicki T. Pospisil Ilmun Kim Chieh-An Lin 120 9 0 27 May 2019
The Shape of Data: Intrinsic Distance for Data DistributionsInternational Conference on Learning Representations (ICLR), 2019 Anton Tsitsulin Marina Munkhoeva Davide Mottin Panagiotis Karras A. Bronstein Ivan Oseledets Emmanuel Müller 160 56 0 27 May 2019
Revisiting Precision and Recall Definition for Generative Model Evaluation Loïc Simon Ryan Webster Julien Rabin 94 19 0 14 May 2019
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality Sukarna Barua Jiabo He S. Erfani Michael E. Houle James Bailey EGVM 96 17 0 02 May 2019
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 323 1,007 0 15 Apr 2019
Regularized Learning for Domain Adaptation under Label Shifts Kamyar Azizzadenesheli Anqi Liu Fanny Yang Anima Anandkumar 94 215 0 22 Mar 2019
Out-of-Sample Testing for GANs Pablo Sánchez-Martín Pablo M. Olmos Fernando Perez-Cruz 94 2 0 28 Jan 2019
Sharpen Focus: Learning with Attention Separability and ConsistencyIEEE International Conference on Computer Vision (ICCV), 2018 Lezi Wang Ziyan Wu Srikrishna Karanam Kuan-Chuan Peng Rajat Vikram Singh Bo Liu Dimitris N. Metaxas 180 37 0 19 Nov 2018
Adversarial Balancing for Causal Inference Michal Ozery-Flato Pierre Thodoroff Matan Ninio Michal Rosen-Zvi T. El-Hay CML GAN 165 27 0 17 Oct 2018
Image Manipulation with Perceptual Discriminators Diana Sungatullina Egor Zakharov Dmitry Ulyanov Victor Lempitsky GAN 129 22 0 05 Sep 2018
Airline Passenger Name Record Generation using Generative Adversarial Networks Alejandro Mottini Alix Lhéritier Rodrigo Acuna-Agost GAN 95 56 0 17 Jul 2018
Training Discriminative Models to Evaluate Generative OnesInternational Conference on Artificial Neural Networks (ICANN), 2018 Timothée Lesort Andrei Stoain Jean-François Goudou David Filliat EGVM 88 18 0 28 Jun 2018
Approximability of Discriminators Implies Diversity in GANsInternational Conference on Learning Representations (ICLR), 2018 Yu Bai Tengyu Ma Andrej Risteski 146 75 0 27 Jun 2018
An empirical study on evaluation metrics of generative adversarial networks Qiantong Xu Gao Huang Yang Yuan Chuan Guo Yu Sun Felix Wu Kilian Q. Weinberger EGVM 161 288 0 19 Jun 2018
Assessing Generative Models via Precision and Recall Mehdi S. M. Sajjadi Olivier Bachem Mario Lucic Olivier Bousquet Sylvain Gelly EGVM 333 646 0 31 May 2018
An Improved Evaluation Framework for Generative Adversarial Networks Gangyan Zeng Yi Wei Jiwen Lu Jie Zhou EGVM 136 51 0 20 Mar 2018
Structural Agnostic Modeling: Adversarial Learning of Causal GraphsJournal of machine learning research (JMLR), 2018 Diviyan Kalainathan Olivier Goudet Isabelle M Guyon David Lopez-Paz Michèle Sebag CML 210 104 0 13 Mar 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training Daniel Jiwoong Im He Ma Graham W. Taylor K. Branson EGVM 142 73 0 02 Mar 2018
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator M. Yamada Denny Wu Yifan Hao Ichiro Takeuchi Ruslan Salakhutdinov Kenji Fukumizu 129 20 0 17 Feb 2018
Selecting the Best in GANs Family: a Post Selection Inference Framework Yifan Hao M. Yamada Denny Wu Ruslan Salakhutdinov Ichiro Takeuchi Kenji Fukumizu EGVM 62 4 0 15 Feb 2018
Recursive Chaining of Reversible Image-to-image Translators For Face Aging Ari Heljakka Arno Solin Arno Solin CVBM 94 5 0 14 Feb 2018
Pros and Cons of GAN Evaluation Measures Ali Borji ELM EGVM 229 921 0 09 Feb 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 1.3K 1,705 0 04 Jan 2018
Probabilistic supervised learning Frithjof Gressmann Franz J. Király Bilal A. Mateen Harald Oberhauser 191 16 0 02 Jan 2018
Kernel Robust Bias-Aware Prediction under Covariate Shift Anqi Liu Rizal Fathony Brian Ziebart OOD 33 3 0 28 Dec 2017
Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling S. Burkart Franz J. Király 98 6 0 16 Nov 2017
Correcting Nuisance Variation using Wasserstein Distance Gil Tabak Minjie Fan Samuel J. Yang Stephan Hoyer Geoff Davis 86 9 0 02 Nov 2017
Conditional Variance Penalties and Domain Shift Robustness C. Heinze-Deml N. Meinshausen OOD VLM 245 4 0 31 Oct 2017
Model-Powered Conditional Independence Test Rajat Sen A. Suresh Karthikeyan Shanmugam A. Dimakis Sanjay Shakkottai VLM CML 163 94 0 18 Sep 2017
Learning Functional Causal Models with Generative Neural Networks Hugo Jair Escalante Sergio Escalera Xavier Baro Isabelle M Guyon Umut Güçlü Marcel van Gerven CML BDL 234 110 0 15 Sep 2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu Christopher Snyder A. Dimakis S. Vishwanath GAN OOD 277 280 0 06 Sep 2017
GANs for Biological Image SynthesisIEEE International Conference on Computer Vision (ICCV), 2017 A. Osokin A. Chessel R. Carazo-Salas F. Vaggi GAN 109 108 0 15 Aug 2017
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 329 424 0 11 Oct 2016
Classification accuracy as a proxy for two sample testing Ilmun Kim Aaditya Ramdas Aarti Singh Larry A. Wasserman 230 82 0 06 Feb 2016