Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,208 papers shown

Title
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Taeksoo Kim Moonsu Cha Hyunsoo Kim Jung Kwon Lee Jiwon Kim GAN OOD 57 1,973 0 15 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 39 8,009 0 15 Mar 2017
Colorization as a Proxy Task for Visual Understanding Gustav Larsson Michael Maire Gregory Shakhnarovich SSL 65 494 0 11 Mar 2017
Coordinated Multi-Agent Imitation Learning Hoang Minh Le Yisong Yue Peter Carr P. Lucey 31 187 0 09 Mar 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning Yevgen Chebotar Karol Hausman Marvin Zhang Gaurav Sukhatme S. Schaal Sergey Levine 19 159 0 08 Mar 2017
Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders S. J. Wetzel SSL DRL 9 314 0 07 Mar 2017
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 42 449 0 07 Mar 2017
Neural Episodic Control Alexander Pritzel Benigno Uria Sriram Srinivasan A. Badia Oriol Vinyals Demis Hassabis Daan Wierstra Charles Blundell OffRL BDL 35 344 0 06 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 21 454 0 06 Mar 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 50 614 0 03 Mar 2017
Toward Controlled Generation of Text Zhiting Hu Zichao Yang Xiaodan Liang Ruslan Salakhutdinov Eric Xing 61 984 0 02 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 30 100 0 28 Feb 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 33 155 0 28 Feb 2017
Boundary-Seeking Generative Adversarial Networks R. Devon Hjelm Athul Paul Jacob Tong Che Adam Trischler Kyunghyun Cho Yoshua Bengio GAN 23 170 0 27 Feb 2017
Dynamic Word Embeddings Robert Bamler Stephan Mandt BDL 161 231 0 27 Feb 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions Zichao Yang Zhiting Hu Ruslan Salakhutdinov Taylor Berg-Kirkpatrick 24 383 0 27 Feb 2017
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 48 223 0 24 Feb 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 337 10,633 0 19 Feb 2017
Deep Kernelized Autoencoders Michael C. Kampffmeyer Sigurd Løkse F. Bianchi Robert Jenssen L. Livi 41 18 0 08 Feb 2017
Deep Stochastic Radar Models T. Wheeler M. Holder H. Winner Mykel Kochenderfer 26 61 0 31 Jan 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 66 4,809 0 26 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Multi-Layer Generalized Linear Estimation Andre Manoel Florent Krzakala M. Mézard Lenka Zdeborová 18 54 0 24 Jan 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities Guo-Jun Qi GAN 27 350 0 23 Jan 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 19 932 0 19 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 48 2,096 0 17 Jan 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 49 525 0 17 Jan 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 36 193 0 13 Jan 2017
Modeling Grasp Motor Imagery through Deep Conditional Generative Models M. Veres M. Moussa Graham W. Taylor GAN 24 37 0 11 Jan 2017
Stochastic Generative Hashing Bo Dai Ruiqi Guo Sanjiv Kumar Niao He Le Song TPM 35 106 0 11 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 31 665 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