Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,234 papers shown

Title
AdaGAN: Boosting Generative Models Ilya O. Tolstikhin Sylvain Gelly Olivier Bousquet Carl-Johann Simon-Gabriel Bernhard Schölkopf GAN 27 226 0 09 Jan 2017
Loss is its own Reward: Self-Supervision for Reinforcement Learning Evan Shelhamer Parsa Mahmoudieh Max Argus Trevor Darrell SSL 24 186 0 21 Dec 2016
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images Aron Yu Kristen Grauman 34 149 0 19 Dec 2016
Learning Residual Images for Face Attribute Manipulation Wei Shen Rujie Liu CVBM GAN 23 252 0 16 Dec 2016
A Survey of Inductive Biases for Factorial Representation-Learning Karl Ridgeway DRL CML 29 76 0 15 Dec 2016
Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders Will Grathwohl Aaron Wilson DRL 24 21 0 14 Dec 2016
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed J. Hopcroft Serge J. Belongie GAN 22 458 0 13 Dec 2016
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events Evan Racah Christopher Beckham Tegan Maharaj Samira Ebrahimi Kahou P. Prabhat C. Pal 19 18 0 07 Dec 2016
Learning Diverse Image Colorization Aditya Deshpande Jiajun Lu Mao-Chuang Yeh Min Jin Chong David A. Forsyth GAN 19 192 0 06 Dec 2016
A Probabilistic Framework for Deep Learning Ankit B. Patel M. T. Nguyen Richard G. Baraniuk BDL 31 67 0 06 Dec 2016
Message Passing Multi-Agent GANs Arna Ghosh Viveka Kulharia Vinay P. Namboodiri AI4CE GAN 23 18 0 05 Dec 2016
End-to-end Learning of Driving Models from Large-scale Video Datasets Huazhe Xu Yang Gao Feng Yu Trevor Darrell 44 821 0 04 Dec 2016
Scribbler: Controlling Deep Image Synthesis with Sketch and Color Patsorn Sangkloy Jingwan Lu Chen Fang Feng Yu James Hays GAN DiffM 29 497 0 02 Dec 2016
Learning Shape Abstractions by Assembling Volumetric Primitives Shubham Tulsiani Hao Su Leonidas J. Guibas Alexei A. Efros Jitendra Malik 24 358 0 01 Dec 2016
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts Levent Karacan Zeynep Akata Aykut Erdem Erkut Erdem GAN 36 186 0 01 Dec 2016
Two Methods For Wild Variational Inference Qiang Liu Yihao Feng BDL 32 19 0 30 Nov 2016
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures Gaurav Mittal Tanya Marwah V. Balasubramanian VGen DiffM 38 67 0 30 Nov 2016
Exploration for Multi-task Reinforcement Learning with Deep Generative Models Sai Praveen Bangaru J. S. Suhas Balaraman Ravindran 21 7 0 29 Nov 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Y. Zhang Phillip Isola Alexei A. Efros SSL DRL 31 666 0 29 Nov 2016
Robust Variational Inference Michael Figurnov Kirill Struminsky Dmitry Vetrov BDL DRL AAML 16 1 0 28 Nov 2016
Max-Margin Deep Generative Models for (Semi-)Supervised Learning Chongxuan Li Jun Zhu Bo Zhang AI4CE 32 42 0 22 Nov 2016
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 21 3,520 0 21 Nov 2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks Emily L. Denton Sam Gross Rob Fergus GAN 27 150 0 19 Nov 2016
Associative Adversarial Networks Tarik Arici Asli Celikyilmaz GAN 34 17 0 18 Nov 2016
Fast Non-Parametric Tests of Relative Dependency and Similarity Wacha Bounliphone Eugene Belilovsky A. Tenenhaus Ioannis Antonoglou Arthur Gretton Matthew B. Blashcko 31 1 0 17 Nov 2016
Semantic Regularisation for Recurrent Image Annotation Feng Liu Tao Xiang Timothy M. Hospedales Wankou Yang Changyin Sun 34 103 0 16 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction Siddharth Agrawal Ambedkar Dukkipati DRL 3DV BDL 30 13 0 16 Nov 2016
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering Zhuxi Jiang Yin Zheng Huachun Tan Bangsheng Tang Hanning Zhou BDL DRL 24 723 0 16 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 22 223 0 14 Nov 2016
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 127 4,535 0 13 Nov 2016
Disentangling factors of variation in deep representations using adversarial training Michaël Mathieu Jun Zhao Pablo Sprechmann Aditya A. Ramesh Yann LeCun DRL CML 53 489 0 10 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 47 671 0 08 Nov 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 59 1,001 0 07 Nov 2016
DeepCoder: Learning to Write Programs Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin Daniel Tarlow AIMat NAI 30 566 0 07 Nov 2016
Joint Multimodal Learning with Deep Generative Models Masahiro Suzuki Kotaro Nakayama Y. Matsuo DRL GAN 35 222 0 07 Nov 2016
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning Dilin Wang Qiang Liu GAN BDL 38 118 0 06 Nov 2016
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency Adji Bousso Dieng Chong-Jun Wang Jianfeng Gao John Paisley 21 243 0 05 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 24 2,508 0 02 Nov 2016
Variational Inference via $χ$ -Upper Bound Minimization Adji Bousso Dieng Dustin Tran Rajesh Ranganath John Paisley David M. Blei BDL 81 36 0 01 Nov 2016
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 52 142 0 31 Oct 2016
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms C. A. Naesseth Francisco J. R. Ruiz Scott W. Linderman David M. Blei BDL 29 107 0 18 Oct 2016
Deep Identity-aware Transfer of Facial Attributes Mu Li W. Zuo David C. Zhang CVBM 35 149 0 18 Oct 2016
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models K. Krauth Edwin V. Bonilla Kurt Cutajar Maurizio Filippone GP BDL 16 54 0 18 Oct 2016
Learning and Transfer of Modulated Locomotor Controllers N. Heess Greg Wayne Yuval Tassa Timothy Lillicrap Martin Riedmiller David Silver 24 207 0 17 Oct 2016
Amortised MAP Inference for Image Super-resolution C. Sønderby Jose Caballero Lucas Theis Wenzhe Shi Ferenc Huszár 41 433 0 14 Oct 2016
Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar Edwin V. Bonilla Pietro Michiardi Maurizio Filippone BDL 14 143 0 14 Oct 2016
Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder Chin-Cheng Hsu Hsin-Te Hwang Yi-Chiao Wu Yu Tsao H. Wang 34 299 0 13 Oct 2016
Learning What and Where to Draw Scott E. Reed Zeynep Akata S. Mohan Samuel Tenka Bernt Schiele Honglak Lee DRL GAN 30 618 0 08 Oct 2016
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 76 2,889 0 07 Oct 2016
Neural Structural Correspondence Learning for Domain Adaptation Yftah Ziser Roi Reichart DRL 16 107 0 05 Oct 2016