Improving GANs Using Optimal Transport

International Conference on Learning Representations (ICLR), 2018

15 March 2018

Papers citing "Improving GANs Using Optimal Transport"

50 / 203 papers shown

Title
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic SpacesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 David Alvarez-Melis Youssef Mroueh Tommi Jaakkola OT 196 26 0 06 Nov 2019
Co-Generation with GANs using AIS based HMCNeural Information Processing Systems (NeurIPS), 2019 Tiantian Fang Alex Schwing 112 2 0 31 Oct 2019
A Near-Optimal Gradient Flow for Learning Neural Energy-Based Models Yang Wu Pengxu Wei Liang Lin 314 0 0 31 Oct 2019
Small-GAN: Speeding Up GAN Training Using Core-setsInternational Conference on Machine Learning (ICML), 2019 Samarth Sinha Hang Zhang Anirudh Goyal Yoshua Bengio Hugo Larochelle Augustus Odena GAN 218 87 0 29 Oct 2019
Sinkhorn Divergences for Unbalanced Optimal Transport Thibault Séjourné Jean Feydy Franccois-Xavier Vialard A. Trouvé Gabriel Peyré OT 305 82 0 28 Oct 2019
Zero-Shot Recognition via Optimal Transport Wenlin Wang Hongteng Xu Guoyin Wang Wenqi Wang Lawrence Carin OT 144 2 0 20 Oct 2019
Differentiable Deep Clustering with Cluster Size Constraints Aude Genevay Gabriel Dulac-Arnold Jean-Philippe Vert 163 42 0 20 Oct 2019
Discriminator optimal transportNeural Information Processing Systems (NeurIPS), 2019 A. Tanaka OT 159 54 0 15 Oct 2019
On the estimation of the Wasserstein distance in generative modelsGerman Conference on Pattern Recognition (DAGM), 2019 Thomas Pinetz Daniel Soukup Thomas Pock GAN 124 9 0 02 Oct 2019
UNITER: UNiversal Image-TExt Representation LearningEuropean Conference on Computer Vision (ECCV), 2019 Yen-Chun Chen Linjie Li Licheng Yu Ahmed El Kholy Faisal Ahmed Zhe Gan Yu Cheng Jingjing Liu VLM OT 321 463 0 25 Sep 2019
Potential Flow Generator with $L_2$ Optimal Transport Regularity for Generative ModelsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Liu Yang George Karniadakis OT 147 47 0 29 Aug 2019
Neural Network based Explicit Mixture Models and Expectation-maximization based LearningIEEE International Joint Conference on Neural Network (IJCNN), 2019 Dong Liu Minh Thành Vu Saikat Chatterjee L. Rasmussen 174 3 0 31 Jul 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial TrainingNeural Information Processing Systems (NeurIPS), 2019 Haichao Zhang Jianyu Wang AAML 324 239 0 24 Jul 2019
Adversarial Computation of Optimal Transport Maps Jacob Leygonie Jennifer She Amjad Almahairi Sai Rajeswar Aaron Courville GAN OT 123 21 0 24 Jun 2019
GAIT: A Geometric Approach to Information TheoryInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Jose Gallego-Posada Ankit Vani Max Schwarzer Damien Scieur 182 8 0 19 Jun 2019
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimizationInternational Conference on Machine Learning (ICML), 2019 Yucheng Chen Matus Telgarsky Chao Zhang Bolton Bailey Daniel J. Hsu Jian-wei Peng GAN OT 121 22 0 08 Jun 2019
Utility/Privacy Trade-off through the lens of Optimal TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Etienne Boursier Vianney Perchet 270 8 0 27 May 2019
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 François-Pierre Paty Alexandre d’Aspremont Marco Cuturi OT 295 35 0 26 May 2019
Survival Function Matching for Calibrated Time-to-Event Predictions Paidamoyo Chapfuwa Chenyang Tao Lawrence Carin Ricardo Henao OOD 90 4 0 21 May 2019
Learning Generative Models across Incomparable SpacesInternational Conference on Machine Learning (ICML), 2019 Charlotte Bunne David Alvarez-Melis Andreas Krause Stefanie Jegelka GAN 152 117 0 14 May 2019
Max-Sliced Wasserstein Distance and its use for GANs Ishani Deshpande Yuan-Ting Hu Tian Ding A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Zhizhen Zhao David A. Forsyth Alex Schwing GAN 220 220 0 11 Apr 2019
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma D. Paudel Luc Van Gool DiffM 306 136 0 10 Apr 2019
Feature Intertwiner for Object Detection Hongyang Li Bo Dai Shaoshuai Shi Wanli Ouyang Xiaogang Wang OOD 129 15 0 28 Mar 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 215 49 0 19 Feb 2019
Artist Style Transfer Via Quadratic Potential Rahul Bhalley Jianlin Su GAN 73 3 0 14 Feb 2019
Wasserstein Barycenter Model EnsemblingInternational Conference on Learning Representations (ICLR), 2019 Pierre Dognin Igor Melnyk Youssef Mroueh Jerret Ross Cicero Nogueira dos Santos Tom Sercu 175 27 0 13 Feb 2019
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation Wei Sun Tianfu Wu 214 13 0 18 Jan 2019
Improving Sequence-to-Sequence Learning via Optimal Transport Liqun Chen Yizhe Zhang Ruiyi Zhang Chenyang Tao Zhe Gan Haichao Zhang Bai Li Dinghan Shen Changyou Chen Lawrence Carin OT 155 95 0 18 Jan 2019
Adaptive Density Estimation for Generative Models Thomas Lucas K. Shmelkov Alahari Karteek Cordelia Schmid Jakob Verbeek GAN DRL 334 32 0 04 Jan 2019
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network Q. Song Yingqi Wu Pu Cao AAML CVBM GAN 271 100 0 29 Nov 2018
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 304 594 0 18 Oct 2018
Sample Complexity of Sinkhorn divergences Aude Genevay Lénaïc Chizat Francis R. Bach Marco Cuturi Gabriel Peyré OT 302 318 0 05 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image SynthesisInternational Conference on Learning Representations (ICLR), 2018 Andrew Brock Jeff Donahue Karen Simonyan 604 5,866 0 28 Sep 2018
Neural Network Encapsulation Hongyang Li Xiaoyang Guo Bo Dai Wanli Ouyang Xiaogang Wang 127 54 0 11 Aug 2018
Character-Level Language Modeling with Deeper Self-Attention Rami Al-Rfou Dokook Choe Noah Constant Mandy Guo Llion Jones 315 408 0 09 Aug 2018
Learning Implicit Generative Models with the Method of Learned MomentsInternational Conference on Machine Learning (ICML), 2018 Suman V. Ravuri S. Mohamed Mihaela Rosca Oriol Vinyals GAN 185 29 0 28 Jun 2018
Adversarial Distillation of Bayesian Neural Network PosteriorsInternational Conference on Machine Learning (ICML), 2018 Kuan-Chieh Wang Paul Vicol James Lucas Li Gu Roger C. Grosse R. Zemel UQCV GAN AAML BDL 144 58 0 27 Jun 2018
Towards a Better Understanding and Regularization of GAN Training Dynamics Weili Nie Ankit B. Patel GAN AI4CE 139 4 0 24 Jun 2018
Autoregressive Quantile Networks for Generative Modeling Georg Ostrovski Will Dabney Rémi Munos DRL 182 88 0 14 Jun 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 172 642 0 13 Jun 2018
Training Generative Reversible Networks R. Schirrmeister Patryk Chrabkaszcz Katharina Eggensperger T. Ball BDL GAN 172 8 0 05 Jun 2018
Whitening and Coloring batch transform for GANs Aliaksandr Siarohin E. Sangineto Andrii Zadaianchuk 264 55 0 01 Jun 2018
Self-Attention Generative Adversarial Networks Han Zhang Ian Goodfellow Dimitris N. Metaxas Augustus Odena GAN 297 4,004 0 21 May 2018
Generative Adversarial Networks (GANs): What it can generate and What it cannot? P Manisha Sujit Gujar GAN 98 0 0 31 Mar 2018
Learning the Base Distribution in Implicit Generative Models Cem Subakan Oluwasanmi Koyejo Paris Smaragdis GAN DRL 99 8 0 12 Mar 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 914 2,389 0 01 Mar 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 234 301 0 23 Feb 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport Maziar Sanjabi Jimmy Ba Meisam Razaviyayn Jason D. Lee GAN 198 143 0 22 Feb 2018
A Fast Proximal Point Method for Computing Exact Wasserstein Distance Yujia Xie Xiangfeng Wang Ruijia Wang H. Zha 253 18 0 12 Feb 2018
A Distributed Framework for the Construction of Transport Maps Diego A. Mesa Justin Tantiongloc Marcela Mendoza Todd P. Coleman 149 0 0 25 Jan 2018