Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,299 papers shown

Title
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 24 243 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 32 107 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 26 207 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 38 299 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 79 2,889 0 07 Oct 2016
Neural Structural Correspondence Learning for Domain Adaptation Yftah Ziser Roi Reichart DRL 16 107 0 05 Oct 2016
Deep Visual Foresight for Planning Robot Motion Chelsea Finn Sergey Levine 37 777 0 03 Oct 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 22 452 0 30 Sep 2016
Cooperative Training of Descriptor and Generator Networks Jianwen Xie Yang Lu Ruiqi Gao Song-Chun Zhu Ying Nian Wu GAN 26 140 0 29 Sep 2016
Semantic Parsing with Semi-Supervised Sequential Autoencoders Tomás Kociský Gábor Melis Edward Grefenstette Chris Dyer Wang Ling Phil Blunsom Karl Moritz Hermann 30 79 0 29 Sep 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions Yunchen Pu Zhe Gan Ricardo Henao Xin Yuan Chunyuan Li Andrew Stevens Lawrence Carin BDL CoGe 36 746 0 28 Sep 2016
Character Sequence Models for ColorfulWords Kazuya Kawakami Chris Dyer Bryan R. Routledge Noah A. Smith 3DV 28 17 0 28 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks Andrew Brock Theodore Lim J. Ritchie Nick Weston GAN 27 457 0 22 Sep 2016
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images Siamak Ravanbakhsh F. Lanusse Rachel Mandelbaum J. Schneider Barnabás Póczós 30 65 0 19 Sep 2016
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge Russell Stewart Stefano Ermon 25 344 0 18 Sep 2016
Towards Deep Symbolic Reinforcement Learning M. Garnelo Kai Arulkumaran Murray Shanahan 30 225 0 18 Sep 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu Weinan Zhang Jun Wang Yong Yu GAN 20 2,387 0 18 Sep 2016
Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis Haohan Wang Aaksha Meghawat Louis-Philippe Morency Eric Xing 21 151 0 16 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks Junyoung Chung Sungjin Ahn Yoshua Bengio BDL 40 534 0 06 Sep 2016
What makes ImageNet good for transfer learning? Minyoung Huh Pulkit Agrawal Alexei A. Efros OOD SSeg VLM SSL 62 671 0 30 Aug 2016
Visualizing and Understanding Sum-Product Networks Antonio Vergari Nicola Di Mauro F. Esposito FAtt AAML TPM 24 45 0 29 Aug 2016
Learning Temporal Transformations From Time-Lapse Videos Yipin Zhou Tamara L. Berg 30 148 0 27 Aug 2016
LFADS - Latent Factor Analysis via Dynamical Systems David Sussillo Rafal Jozefowicz L. F. Abbott C. Pandarinath AI4CE 32 89 0 22 Aug 2016
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems Zachary Chase Lipton Xiujun Li Jianfeng Gao Lihong Li Faisal Ahmed Li Deng 28 6 0 17 Aug 2016
Regularization for Unsupervised Deep Neural Nets Baiyang Wang Diego Klabjan BDL 23 25 0 15 Aug 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks Andrew Brock Theodore Lim J. Ritchie Nick Weston 26 577 0 15 Aug 2016
Deep Survival Analysis Rajesh Ranganath A. Perotte Noémie Elhadad David M. Blei 24 197 0 06 Aug 2016
Learning a Driving Simulator Eder Santana George Hotz GAN 28 226 0 03 Aug 2016
Exponential Family Embeddings Maja R. Rudolph Francisco J. R. Ruiz Stephan Mandt David M. Blei 30 107 0 02 Aug 2016
Semantic Image Inpainting with Deep Generative Models Raymond A. Yeh Chen Chen Teck-Yian Lim A. Schwing M. Hasegawa-Johnson Minh Do GAN VLM 48 1,169 0 26 Jul 2016
Neural Tree Indexers for Text Understanding Tsendsuren Munkhdalai Hong-ye Yu 29 104 0 15 Jul 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks Tianfan Xue Jiajun Wu Katherine Bouman Bill Freeman 43 416 0 09 Jul 2016
Pseudo-Marginal Hamiltonian Monte Carlo Johan Alenlöv Arnaud Doucet Fredrik Lindsten 36 22 0 08 Jul 2016
Unsupervised Learning of 3D Structure from Images Danilo Jimenez Rezende S. M. Ali Eslami S. Mohamed Peter W. Battaglia Max Jaderberg N. Heess 3DV SSL DRL 17 395 0 03 Jul 2016
Automatic Variational ABC Alexander Moreno T. Adel Edward Meeds James M. Rehg Max Welling 20 12 0 28 Jun 2016
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders Jacob Walker Carl Doersch Abhinav Gupta M. Hebert VGen 15 512 0 25 Jun 2016
Coupled Generative Adversarial Networks Ming Liu Oncel Tuzel OOD GAN 28 1,622 0 24 Jun 2016
DropNeuron: Simplifying the Structure of Deep Neural Networks W. Pan Hao Dong Yike Guo 24 35 0 23 Jun 2016
Drawing and Recognizing Chinese Characters with Recurrent Neural Network Xu-Yao Zhang Fei Yin Yanming Zhang Cheng-Lin Liu Yoshua Bengio 50 320 0 21 Jun 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 50 1,722 0 19 Jun 2016
Early Visual Concept Learning with Unsupervised Deep Learning I. Higgins Loic Matthey Xavier Glorot Arka Pal Benigno Uria Charles Blundell S. Mohamed Alexander Lerchner CoGe OCL DRL 27 173 0 17 Jun 2016