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
Variational Disentanglement for Rare Event Modeling Zidi Xiu Chenyang Tao M. Gao Connor Davis B. Goldstein Ricardo Henao CML DRL 29 6 0 17 Sep 2020
Unsupervised Part Discovery by Unsupervised Disentanglement Sandro Braun Patrick Esser Bjorn Ommer OCL 8 4 0 09 Sep 2020
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations Alhabib Abbas Y. Andreopoulos MoE 16 18 0 21 Aug 2020
MPCC: Matching Priors and Conditionals for Clustering N. Astorga P. Huijse P. Protopapas P. Estévez 14 2 0 21 Aug 2020
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion Chang Shu Kun Yu Zhixiang Duan Kuiyuan Yang SSL MDE 28 229 0 21 Jul 2020
Learning latent representations across multiple data domains using Lifelong VAEGAN Fei Ye A. Bors SyDa CLL 10 65 0 20 Jul 2020
Bridging Maximum Likelihood and Adversarial Learning via $α$ -Divergence Miaoyun Zhao Yulai Cong Shuyang Dai Lawrence Carin GAN 22 10 0 13 Jul 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample Shir Gur Sagie Benaim Lior Wolf VGen GAN DRL 22 69 0 22 Jun 2020
Region-based Energy Neural Network for Approximate Inference Dong Liu Ragnar Thobaben L. Rasmussen BDL 22 2 0 17 Jun 2020
Generalized Adversarially Learned Inference Yatin Dandi Homanga Bharadhwaj Abhishek Kumar Piyush Rai GAN 14 7 0 15 Jun 2020
Novelty Detection via Robust Variational Autoencoding Chieh-Hsin Lai Dongmian Zou Gilad Lerman AAML DRL 13 5 0 09 Jun 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation Jae Hyun Lim Aaron Courville C. Pal Chin-Wei Huang DRL 8 23 0 09 Jun 2020
Multi-view Alignment and Generation in CCA via Consistent Latent Encoding Yaxin Shi Yuangang Pan Donna Xu Ivor W. Tsang 3DV 6 4 0 24 May 2020
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks Yashar Deldjoo Tommaso Di Noia Felice Antonio Merra AAML 14 6 0 20 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 286 0 30 Apr 2020
APo-VAE: Text Generation in Hyperbolic Space Shuyang Dai Zhe Gan Yu Cheng Chenyang Tao Lawrence Carin Jingjing Liu BDL GAN DRL 8 33 0 30 Apr 2020
Robustness Certification of Generative Models M. Mirman Timon Gehr Martin Vechev AAML 43 22 0 30 Apr 2020
Decomposed Adversarial Learned Inference Alexander Hanbo Li Yaqing Wang Changyou Chen Jing Gao DRL 11 4 0 21 Apr 2020
AriEL: volume coding for sentence generation Luca Herranz-Celotti Simon Brodeur Jean Rouat 22 0 0 30 Mar 2020
Scalable Approximate Inference and Some Applications Jun Han BDL 22 1 0 07 Mar 2020
Analysis of Discriminator in RKHS Function Space for Kullback-Leibler Divergence Estimation S. Ghimire P. Gyawali Linwei Wang 23 0 0 25 Feb 2020
Bidirectional Generative Modeling Using Adversarial Gradient Estimation Xinwei Shen Tong Zhang Kani Chen GAN 27 9 0 21 Feb 2020
Adversarial Code Learning for Image Generation Jiangbo Yuan Bing Wu Wanying Ding Q. Ping Zhendong Yu GAN 23 0 0 30 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 818 0 20 Jan 2020
Deep Automodulators Ari Heljakka Wenshuai Zhao Arno Solin Arno Solin 31 5 0 21 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra L. V. D. van der Maaten SSL VLM 37 1,445 0 04 Dec 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs Riddhish Bhalodia Iain Lee Shireen Elhabian DRL 17 10 0 24 Nov 2019
Log Message Anomaly Detection and Classification Using Auto-B/LSTM and Auto-GRU Amir Farzad T. Gulliver 11 14 0 20 Nov 2019
Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models L. Brocki N. C. Chung FAtt 25 21 0 29 Oct 2019
Implicit Posterior Variational Inference for Deep Gaussian Processes Haibin Yu Yizhou Chen Zhongxiang Dai K. H. Low Patrick Jaillet 19 42 0 26 Oct 2019
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis Patrick Esser Johannes Haux Bjorn Ommer OOD OCL DRL 19 40 0 22 Oct 2019
Uncertainty Quantification with Generative Models Vanessa Böhm F. Lanusse U. Seljak 22 25 0 22 Oct 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 21 61 0 09 Oct 2019
Stacked Wasserstein Autoencoder Wenju Xu Shawn Keshmiri Guanghui Wang BDL DiffM DRL 6 14 0 04 Oct 2019
Tightening Bounds for Variational Inference by Revisiting Perturbation Theory Robert Bamler Cheng Zhang Manfred Opper Stephan Mandt 16 3 0 30 Sep 2019
Implicit Discriminator in Variational Autoencoder Prateek Munjal Akanksha Paul N. C. Krishnan GAN DRL 24 13 0 28 Sep 2019
Adversarial $α$ -divergence Minimization for Bayesian Approximate Inference Simón Rodríguez Santana Daniel Hernández-Lobato UQCV BDL 12 7 0 13 Sep 2019
A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks D. Bacciu Luigi Di Sotto GNN 10 26 0 07 Sep 2019
Implicit Deep Latent Variable Models for Text Generation Le Fang Chunyuan Li Jianfeng Gao Wen Dong Changyou Chen DRL 20 64 0 30 Aug 2019
Geometric Disentanglement for Generative Latent Shape Models Tristan Aumentado-Armstrong Stavros Tsogkas Allan D. Jepson Sven J. Dickinson DRL 16 54 0 18 Aug 2019
Variational f-divergence Minimization Mingtian Zhang Thomas Bird Raza Habib Tianlin Xu David Barber FedML 4 27 0 27 Jul 2019
Bayesian Inference with Generative Adversarial Network Priors Dhruv V. Patel Assad A. Oberai GAN AI4CE 25 17 0 22 Jul 2019
Probabilistic CCA with Implicit Distributions Yaxin Shi Yuangang Pan Donna Xu Ivor Tsang 16 0 0 04 Jul 2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection Changhee Han Yoshiro Kitamura Akira Kudo Akimichi Ichinose L. Rundo Yujiro Furukawa Kazuki Umemoto Yuanzhong Li Hideki Nakayama MedIm 13 116 0 12 Jun 2019
Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data Daniel Jiwoong Im Sridhama Prakhya Jinyao Yan Srinivas C. Turaga K. Branson BDL 13 2 0 07 Jun 2019
Continual learning with hypernetworks J. Oswald Christian Henning Benjamin Grewe João Sacramento CLL 10 349 0 03 Jun 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 26 14 0 31 May 2019
Generative Latent Flow Zhisheng Xiao Qing Yan Y. Amit DRL 9 15 0 24 May 2019
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling Hao Zhang Bo Chen Long Tian Zhengjue Wang Mingyuan Zhou DRL 32 6 0 18 May 2019
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 6 798 0 16 May 2019