Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks

17 January 2017

Papers citing "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks"

50 / 270 papers shown

Title
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function A. Raghunathan A. Cherian Devesh K. Jha 12 21 0 15 May 2019
Multi-class Novelty Detection Using Mix-up Technique Supritam Bhattacharjee Devraj Mandal Soma Biswas 25 14 0 11 May 2019
Importance Weighted Hierarchical Variational Inference Artem Sobolev Dmitry Vetrov BDL 8 26 0 08 May 2019
FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing Sen-Zhe Xu Haozhi Huang Shimin Hu Wei Liu CVBM 6 5 0 06 May 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning Priya Goyal D. Mahajan Abhinav Gupta Ishan Misra SSL 24 396 0 03 May 2019
Copula-like Variational Inference Marcel Hirt P. Dellaportas Alain Durmus 4 5 0 15 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
Attentive Action and Context Factorization Yunhong Wang Vinh Tran Gedas Bertasius Lorenzo Torresani Minh Hoai 12 6 0 10 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
Conditional Adversarial Generative Flow for Controllable Image Synthesis R. Liu Yu Liu Xinyu Gong Xiaogang Wang Hongsheng Li 19 45 0 03 Apr 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 39 570 0 31 Mar 2019
Persona-Aware Tips Generation Piji Li Zihao Wang Lidong Bing Wai Lam 20 40 0 06 Mar 2019
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images Changhee Han K. Murao T. Noguchi Yusuke Kawata F. Uchiyama L. Rundo Hideki Nakayama Shiníchi Satoh MedIm 8 98 0 26 Feb 2019
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins J. Tubiana Simona Cocco R. Monasson 22 28 0 18 Feb 2019
Adversarially Approximated Autoencoder for Image Generation and Manipulation Wenju Xu Shawn Keshmiri Guanghui Wang GAN 29 71 0 14 Feb 2019
Differential Similarity in Higher Dimensional Spaces: Theory and Applications L. McCarty 17 0 0 10 Feb 2019
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds Hisham Husain Richard Nock Robert C. Williamson GAN DRL 11 3 0 03 Feb 2019
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning Casey Chu Jose H. Blanchet Peter Glynn GAN 19 26 0 30 Jan 2019
Disentangling and Learning Robust Representations with Natural Clustering Javier Antorán A. Miguel CoGe OOD CML DRL 6 19 0 27 Jan 2019
Learning Disentangled Representations with Reference-Based Variational Autoencoders Adria Ruiz Oriol Martínez Xavier Binefa Jakob Verbeek OOD CoGe DRL 6 26 0 24 Jan 2019
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy D. Ravì A. Szczotka Stephen P. Pereira Tom Kamiel Magda Vercauteren SupR MedIm 27 49 0 21 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Yibo Yang P. Perdikaris SyDa BDL AI4CE 26 55 0 15 Jan 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution Chunyuan Li Ke Bai Jianqiao Li Guoyin Wang Changyou Chen Lawrence Carin 14 10 0 03 Jan 2019
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 12 46 0 22 Dec 2018
Variational Autoencoders Pursue PCA Directions (by Accident) Michal Rolínek Dominik Zietlow Georg Martius OOD DRL 11 149 0 17 Dec 2018
Traversing Latent Space using Decision Ferns Yan Zuo Gil Avraham Tom Drummond 14 4 0 06 Dec 2018
Partitioned Variational Inference: A unified framework encompassing federated and continual learning T. Bui Cuong V Nguyen S. Swaroop Richard Turner FedML 16 55 0 27 Nov 2018
Deep Knockoffs Yaniv Romano Matteo Sesia Emmanuel J. Candès BDL 18 139 0 16 Nov 2018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yibo Yang P. Perdikaris AI4CE PINN 13 354 0 09 Nov 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 11 110 0 26 Oct 2018
Efficiently measuring a quantum device using machine learning D. Lennon H. Moon L. Camenzind Liuqi Yu D. Zumbuhl G. Briggs Michael A. Osborne E. Laird N. Ares 9 67 0 23 Oct 2018
Sparsemax and Relaxed Wasserstein for Topic Sparsity Tianyi Lin Z. Hu Xin Guo 14 37 0 22 Oct 2018
Metropolis-Hastings view on variational inference and adversarial training Kirill Neklyudov Evgenii Egorov Pavel Shvechikov Dmitry Vetrov GAN 29 13 0 16 Oct 2018
$MDGAN: Boosting Anomaly Detection Using \\Multi-Discriminator Generative Adversarial Networks$ MDGAN: Boosting Anomaly Detection Using \\Multi-Discriminator Generative Adversarial Networks Yotam Intrator Gilad Katz A. Shabtai 4 21 0 11 Oct 2018
Pairwise Augmented GANs with Adversarial Reconstruction Loss Aibek Alanov Max Kochurov D. Yashkov Dmitry Vetrov GAN 19 3 0 11 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
Doubly Semi-Implicit Variational Inference Dmitry Molchanov V. Kharitonov Artem Sobolev Dmitry Vetrov BDL 16 38 0 05 Oct 2018
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow Xue Bin Peng Angjoo Kanazawa Sam Toyer Pieter Abbeel Sergey Levine 30 213 0 01 Oct 2018
Latent Space Optimal Transport for Generative Models Huidong Liu Yang Guo Na Lei Zhixin Shu S. Yau Dimitris Samaras X. Gu OT DRL 11 7 0 16 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
Improving Explorability in Variational Inference with Annealed Variational Objectives Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron Courville DRL 9 47 0 06 Sep 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 24 52 0 06 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 25 16 0 05 Aug 2018
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer David Berthelot Colin Raffel Aurko Roy Ian Goodfellow 10 260 0 19 Jul 2018
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions Tim Sainburg Marvin Thielk Brad Theilman Benjamin Migliori T. Gentner DRL GAN 25 54 0 17 Jul 2018
Avoiding Latent Variable Collapse With Generative Skip Models Adji Bousso Dieng Yoon Kim Alexander M. Rush David M. Blei DRL 19 172 0 12 Jul 2018
Generative Adversarial Networks with Decoder-Encoder Output Noise G. Zhong Wei Gao Yongbin Liu Youzhao Yang GAN 25 7 0 11 Jul 2018
Handling Incomplete Heterogeneous Data using VAEs A. Nazábal Pablo Martínez Olmos Zoubin Ghahramani Isabel Valera 13 342 0 10 Jul 2018
Pioneer Networks: Progressively Growing Generative Autoencoder Ari Heljakka Arno Solin Arno Solin GAN DRL 27 41 0 09 Jul 2018
Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder Kai-Chun Hu Peter O'Connor SSL DRL 14 1 0 05 Jul 2018