Wasserstein Auto-Encoders

5 November 2017

Papers citing "Wasserstein Auto-Encoders"

38 / 188 papers shown

Title
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 23 230 0 24 Jul 2019
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization Yucheng Chen Matus Telgarsky Chao Zhang Bolton Bailey Daniel J. Hsu Jian-wei Peng GAN OT 16 17 0 08 Jun 2019
Style Generator Inversion for Image Enhancement and Animation Aviv Gabbay Yedid Hoshen 11 17 0 05 Jun 2019
Educating Text Autoencoders: Latent Representation Guidance via Denoising T. Shen Jonas W. Mueller Regina Barzilay Tommi Jaakkola 14 4 0 29 May 2019
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter Wenshuo Guo Nhat Ho Michael I. Jordan OT 17 5 0 23 May 2019
Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation Wenju Xu Shawn Keshmiri Guanghui Wang GAN 33 53 0 21 May 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 31 398 0 17 May 2019
Kernel Mean Matching for Content Addressability of GANs Wittawat Jitkrittum Patsorn Sangkloy Muhammad Waleed Gondal Amit Raj James Hays Bernhard Schölkopf GAN BDL 24 9 0 14 May 2019
The Level Weighted Structural Similarity Loss: A Step Away from the MSE Yingjing Lu 17 27 0 30 Apr 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 22 27 0 17 Apr 2019
Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders Adrien Bitton P. Esling Antoine Caillon Martin Fouilleul 28 10 0 12 Apr 2019
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders Ari Heljakka Arno Solin Arno Solin DRL CVBM 27 15 0 12 Apr 2019
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma D. Paudel Luc Van Gool DiffM 22 124 0 10 Apr 2019
Learning Implicit Generative Models by Matching Perceptual Features Cicero Nogueira dos Santos Youssef Mroueh Inkit Padhi Pierre L. Dognin GAN 23 28 0 04 Apr 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 33 570 0 31 Mar 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 17 269 0 29 Mar 2019
Hypernetwork functional image representation Sylwester Klocek Lukasz Maziarka Maciej Wołczyk Jacek Tabor Jakub Nowak Marek Śmieja SupR 3DH 16 90 0 27 Feb 2019
LOSSGRAD: automatic learning rate in gradient descent B. Wójcik Lukasz Maziarka Jacek Tabor ODL 32 4 0 20 Feb 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 33 42 0 19 Feb 2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs Anton Mallasto J. Frellsen Wouter Boomsma Aasa Feragen 14 15 0 10 Feb 2019
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 19 36 0 24 Jan 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 26 171 0 17 Jan 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 14 272 0 16 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Yibo Yang P. Perdikaris SyDa BDL AI4CE 21 55 0 15 Jan 2019
Spread Divergence Mingtian Zhang Peter Hayes Thomas Bird Raza Habib David Barber MedIm UD 30 20 0 21 Nov 2018
Sparsemax and Relaxed Wasserstein for Topic Sparsity Tianyi Lin Z. Hu Xin Guo 14 37 0 22 Oct 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs Yogesh Balaji Hamed Hassani Rama Chellappa S. Feizi GAN DRL 41 20 0 09 Oct 2018
DT-LET: Deep Transfer Learning by Exploring where to Transfer Jianzhe Lin Qi. Wang Rabab Ward Z. J. Wang 11 27 0 23 Sep 2018
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 26 61 0 14 Sep 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 18 482 0 14 Aug 2018
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation Hareesh Bahuleyan Lili Mou Hao Zhou Olga Vechtomova BDL DRL 19 6 0 22 Jun 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 32 119 0 21 Jun 2018
Learning Factorized Multimodal Representations Yao-Hung Hubert Tsai Paul Pu Liang Amir Zadeh Louis-Philippe Morency Ruslan Salakhutdinov DRL 61 402 0 16 Jun 2018
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder Xiaodong Gu Kyunghyun Cho Jung-Woo Ha Sunghun Kim DRL 33 129 0 31 May 2018
On representation power of neural network-based graph embedding and beyond Akifumi Okuno Hidetoshi Shimodaira 9 2 0 31 May 2018
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 11 42 0 29 May 2018
Deep Generative Models for Distribution-Preserving Lossy Compression Michael Tschannen E. Agustsson Mario Lucic 14 130 0 28 May 2018
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 38 596 0 31 Oct 2017