Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,352 papers shown

Title
DeepCoder: Learning to Write Programs Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin Daniel Tarlow AIMat NAI 36 566 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 27 243 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 83 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 38 107 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 35 207 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 41 299 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 33 65 0 19 Sep 2016
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge Russell Stewart Stefano Ermon 31 344 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 24 151 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 34 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 27 197 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 Alex 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 22 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 40 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