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Auxiliary Deep Generative Models

17 February 2016

Papers citing "Auxiliary Deep Generative Models"

50 / 230 papers shown

Title
Amortized Inference Regularization Rui Shu Hung Bui Shengjia Zhao Mykel J. Kochenderfer Stefano Ermon DRL 57 82 0 23 May 2018
Multiple Causal Inference with Latent Confounding Rajesh Ranganath A. Perotte CML 73 50 0 21 May 2018
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding Ga Wu Justin Domke Scott Sanner BDL DRL 72 11 0 20 May 2018
XOGAN: One-to-Many Unsupervised Image-to-Image Translation Yongqi Zhang ViT GAN 41 9 0 18 May 2018
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification Xin Yi Ekta Walia P. Babyn GAN MedIm 65 52 0 10 Apr 2018
Semi-Supervised Learning Enabled by Multiscale Deep Neural Network Inversion Randall Balestriero H. Glotin Richard Baraniuk BDL 115 5 0 27 Feb 2018
Leveraging the Exact Likelihood of Deep Latent Variable Models Pierre-Alexandre Mattei J. Frellsen DRL 98 67 0 13 Feb 2018
Tighter Variational Bounds are Not Necessarily Better Tom Rainforth Adam R. Kosiorek T. Le Chris J. Maddison Maximilian Igl Frank Wood Yee Whye Teh DRL 212 198 0 13 Feb 2018
Hierarchical Adversarially Learned Inference Mohamed Ishmael Belghazi Sai Rajeswar Olivier Mastropietro Negar Rostamzadeh Jovana Mitrović Aaron Courville GAN BDL 90 29 0 04 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 137 283 0 10 Jan 2018
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis Takashi Matsubara T. Tashiro K. Uehara MedIm 58 43 0 18 Dec 2017
Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders Le Hui Xiang Li Jiaxin Chen Hongliang He Chen Gong Jian Yang 61 43 0 06 Dec 2017
Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb Adam Goliñski R. Zinkov Siddharth Narayanaswamy Tom Rainforth Yee Whye Teh Frank Wood TPM 134 47 0 01 Dec 2017
Hybrid VAE: Improving Deep Generative Models using Partial Observations Sergey Tulyakov Andrew Fitzgibbon Sebastian Nowozin DRL 76 9 0 30 Nov 2017
Asymmetric Variational Autoencoders Guoqing Zheng Yiming Yang J. Carbonell BDL 31 2 0 20 Nov 2017
Semi-Supervised Learning via New Deep Network Inversion Randall Balestriero Vincent Roger H. Glotin Richard G. Baraniuk 102 3 0 12 Nov 2017
Neural Variational Inference and Learning in Undirected Graphical Models Volodymyr Kuleshov Stefano Ermon BDL 79 34 0 07 Nov 2017
Adversarial Dropout Regularization Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada Kate Saenko GAN 94 286 0 05 Nov 2017
Structured Generative Adversarial Networks Zhijie Deng Huatian Zhang Xiaodan Liang Luona Yang Shizhen Xu Jun Zhu Eric Xing GAN 70 53 0 02 Nov 2017
Safe Semi-Supervised Learning of Sum-Product Networks Martin Trapp Tamas Madl Robert Peharz Franz Pernkopf R. Trappl TPM 69 14 0 10 Oct 2017
Projection Based Weight Normalization for Deep Neural Networks Lei Huang Xianglong Liu B. Lang Yue Liu 73 18 0 06 Oct 2017
Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling Ruiqi Gao Yang Lu Junpei Zhou Song-Chun Zhu Ying Nian Wu 119 79 0 26 Sep 2017
On Nesting Monte Carlo Estimators Tom Rainforth R. Cornish Hongseok Yang Andrew Warrington Frank Wood 172 132 0 18 Sep 2017
Disentangled Variational Auto-Encoder for Semi-supervised Learning Yang Li Quan Pan Suhang Wang Haiyun Peng Tao Yang Min Zhang DRL 69 88 0 15 Sep 2017
Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction A. Yoon Taehoon Lee Yongsub Lim Deokwoo Jung Philgyun Kang Dongwon Kim Keuntae Park Yongjin Choi MedIm 66 60 0 04 Sep 2017
Unsupervised feature learning with discriminative encoder Gaurav Pandey Ambedkar Dukkipati SSL 60 6 0 03 Sep 2017
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images Avi Singh Larry Yang Sergey Levine 61 23 0 07 Aug 2017
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks Cicero Nogueira dos Santos Kahini Wadhawan Bowen Zhou GAN 95 30 0 07 Jul 2017
Bayesian Semisupervised Learning with Deep Generative Models Jonathan Gordon José Miguel Hernández-Lobato BDL UQCV GAN 75 27 0 29 Jun 2017
A Contemporary Overview of Probabilistic Latent Variable Models Rick Farouni 20 1 0 25 Jun 2017
Self-ensembling for visual domain adaptation Geoffrey French Michal Mackiewicz M. Fisher 103 44 0 16 Jun 2017
SEVEN: Deep Semi-supervised Verification Networks Vahid Noroozi Lei Zheng S. Bahaadini Sihong Xie Philip S. Yu 31 16 0 12 Jun 2017
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma Danda Pani Paudel Luc Van Gool DiffM 54 0 0 08 Jun 2017
Learning by Association - A versatile semi-supervised training method for neural networks Philip Häusser A. Mordvintsev Zorah Lähner BDL 80 121 0 03 Jun 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 84 100 0 02 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 203 363 0 01 Jun 2017
Variational Sequential Monte Carlo C. A. Naesseth Scott W. Linderman Rajesh Ranganath David M. Blei BDL 310 215 0 31 May 2017
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 127 486 0 27 May 2017
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference Abhishek Kumar P. Sattigeri P. T. Fletcher GAN 96 42 0 24 May 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 242 750 0 24 May 2017
GAR: An efficient and scalable Graph-based Activity Regularization for semi-supervised learning Ozsel Kilinc Ismail Uysal 34 28 0 19 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 141 638 0 19 May 2017
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition Changde Du Changying Du Jinpeng Li Wei-Long Zheng Bao-Liang Lu Huiguang He 23 9 0 25 Apr 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 153 2,750 0 13 Apr 2017
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction Chunting Zhou Graham Neubig DRL BDL 87 55 0 06 Apr 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 122 28 0 03 Apr 2017
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 130 456 0 07 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 181 461 0 06 Mar 2017
Unsupervised Image-to-Image Translation Networks Ming-Yuan Liu Thomas Breuel Jan Kautz VLM 255 2,740 0 02 Mar 2017
Auto-clustering Output Layer: Automatic Learning of Latent Annotations in Neural Networks Ozsel Kilinc Ismail Uysal OOD 18 8 0 28 Feb 2017