Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,050 papers shown

Title
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 19 3,513 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
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 94 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 16 566 0 07 Nov 2016
Joint Multimodal Learning with Deep Generative Models Masahiro Suzuki Kotaro Nakayama Y. Matsuo DRL GAN 32 222 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 19 243 0 05 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 24 2,505 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 25 107 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 19 207 0 17 Oct 2016
Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar Edwin V. Bonilla Pietro Michiardi Maurizio Filippone BDL 14 142 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 32 299 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 70 2,885 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 35 777 0 03 Oct 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 14 452 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 30 746 0 28 Sep 2016
Character Sequence Models for ColorfulWords Kazuya Kawakami Chris Dyer Bryan R. Routledge Noah A. Smith 3DV 20 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 21 345 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 2,385 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 24 89 0 22 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 19 197 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 22 107 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 33 1,169 0 26 Jul 2016