Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,299 papers shown

Title
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks Weiyue Wang Qiangui Huang Suya You Chao Yang Ulrich Neumann GAN 3DPC 55 167 0 17 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images Taihong Xiao Jiapeng Hong Jinwen Ma DRL 31 90 0 15 Nov 2017
Adversarial Information Factorization Antonia Creswell Yumnah Mohamied B. Sengupta Anil A Bharath CVBM GAN 29 23 0 14 Nov 2017
Adversarial Symmetric Variational Autoencoder Yunchen Pu Weiyao Wang Ricardo Henao Liqun Chen Zhe Gan Chunyuan Li Lawrence Carin DRL GAN 42 78 0 14 Nov 2017
MojiTalk: Generating Emotional Responses at Scale Xianda Zhou William Yang Wang 30 203 0 11 Nov 2017
Applications of Deep Learning and Reinforcement Learning to Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain S. Vassanelli OffRL AI4CE 41 641 0 10 Nov 2017
Large-Scale Optimal Transport and Mapping Estimation Vivien Seguy B. Damodaran Rémi Flamary Nicolas Courty Antoine Rolet Mathieu Blondel OT 41 243 0 07 Nov 2017
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net Anirudh Goyal Nan Rosemary Ke Surya Ganguli Yoshua Bengio DiffM 35 55 0 07 Nov 2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders Artur Speiser Jinyao Yan Evan Archer Lars Buesing Srinivas C. Turaga Jakob H. Macke BDL 35 47 0 06 Nov 2017
KGAN: How to Break The Minimax Game in GAN Trung Le T. Nguyen Dinh Q. Phung GAN 41 1 0 06 Nov 2017
A Survey on Dialogue Systems: Recent Advances and New Frontiers Hongshen Chen Xiaorui Liu Dawei Yin Jiliang Tang VLM LLMAG 38 695 0 06 Nov 2017
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory Ron Amit Ron Meir BDL MLT 32 175 0 03 Nov 2017
Metrics for Deep Generative Models Nutan Chen Alexej Klushyn Richard Kurle Xueyan Jiang Justin Bayer Patrick van der Smagt SyDa DRL 18 116 0 03 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 64 4,840 0 02 Nov 2017
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 56 300 0 31 Oct 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 76 7,284 0 27 Oct 2017
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference Scott W. Linderman Gonzalo E. Mena H. Cooper Liam Paninski John P. Cunningham 21 50 0 26 Oct 2017
Auto-Differentiating Linear Algebra Matthias Seeger A. Hetzel Zhenwen Dai Eric Meissner Neil D. Lawrence 17 38 0 24 Oct 2017
Learning Discrete Weights Using the Local Reparameterization Trick Oran Shayer Dan Levi Ethan Fetaya 21 88 0 21 Oct 2017
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks Han Zhang Tao Xu Hongsheng Li Shaoting Zhang Xiaogang Wang Xiaolei Huang Dimitris N. Metaxas GAN 41 1,050 0 19 Oct 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 57 2,975 0 19 Oct 2017
Dropout Sampling for Robust Object Detection in Open-Set Conditions Dimity Miller Lachlan Nicholson Feras Dayoub Niko Sünderhauf BDL UQCV 39 232 0 18 Oct 2017
Robust Locally-Linear Controllable Embedding Ershad Banijamali Rui Shu Mohammad Ghavamzadeh Hung Bui A. Ghodsi BDL 16 93 0 15 Oct 2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization Hyeonwoo Noh Tackgeun You Jonghwan Mun Bohyung Han NoLa 29 197 0 14 Oct 2017
Burn-In Demonstrations for Multi-Modal Imitation Learning Alex Kuefler Mykel J. Kochenderfer 29 24 0 13 Oct 2017
Learning Independent Features with Adversarial Nets for Non-linear ICA Philemon Brakel Yoshua Bengio OOD CML 27 93 0 13 Oct 2017
On Data-Driven Saak Transform C.-C. Jay Kuo Yueru Chen AI4TS 21 93 0 11 Oct 2017
Reconstruction of Hidden Representation for Robust Feature Extraction Zeng Yu Tianrui Li Ning Yu Yi Pan Hongmei Chen Bing-Quan Liu 22 27 0 08 Oct 2017
Learnable Explicit Density for Continuous Latent Space and Variational Inference Chin-Wei Huang Ahmed Touati Laurent Dinh M. Drozdzal Mohammad Havaei Laurent Charlin Aaron Courville BDL DRL 36 28 0 06 Oct 2017
Variational Grid Setting Network Yu-Neng Chuang Zi-Yu Huang Yen-Lung Tsai GAN 21 1 0 30 Sep 2017
AutoEncoder by Forest Ji Feng Zhi-Hua Zhou AI4CE 20 62 0 26 Sep 2017
Generating Sentences by Editing Prototypes Kelvin Guu Tatsunori B. Hashimoto Yonatan Oren Percy Liang 30 316 0 26 Sep 2017
Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling Ruiqi Gao Yang Lu Junpei Zhou Song-Chun Zhu Ying Nian Wu 39 78 0 26 Sep 2017
Disentangled Variational Auto-Encoder for Semi-supervised Learning Yang Li Quan Pan Suhang Wang Haiyun Peng Tao Yang Min Zhang DRL 21 86 0 15 Sep 2017
Differentially Private Mixture of Generative Neural Networks G. Ács Luca Melis C. Castelluccia Emiliano De Cristofaro SyDa 24 120 0 13 Sep 2017
Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories Yajing Chen Shikui Tu Yuqi Yi Lei Xu BDL DRL 34 66 0 13 Sep 2017
A deep generative model for gene expression profiles from single-cell RNA sequencing Romain Lopez Jeffrey Regier Michael Cole Michael I. Jordan N. Yosef BDL 26 7 0 07 Sep 2017
Deep and Confident Prediction for Time Series at Uber Lingxue Zhu N. Laptev BDL AI4TS 30 343 0 06 Sep 2017
Symmetric Variational Autoencoder and Connections to Adversarial Learning Liqun Chen Shuyang Dai Yunchen Pu Chunyuan Li Weiyao Wang Lawrence Carin DRL GAN 38 70 0 06 Sep 2017
Deep Learning Techniques for Music Generation -- A Survey Jean-Pierre Briot Gaëtan Hadjeres F. Pachet MGen 37 297 0 05 Sep 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching Chunyuan Li Hao Liu Changyou Chen Yunchen Pu Liqun Chen Ricardo Henao Lawrence Carin GAN FedML 40 220 0 05 Sep 2017
Continuous-Time Flows for Efficient Inference and Density Estimation Changyou Chen Chunyuan Li Liquan Chen Wenlin Wang Yunchen Pu Lawrence Carin TPM 46 57 0 04 Sep 2017
Photorealistic Facial Expression Synthesis by the Conditional Difference Adversarial Autoencoder Yuqian Zhou Bertram Emil Shi CVBM 28 78 0 30 Aug 2017
On denoising autoencoders trained to minimise binary cross-entropy Antonia Creswell Kai Arulkumaran Anil A. Bharath 30 72 0 28 Aug 2017
3D Object Reconstruction from a Single Depth View with Adversarial Learning Bo Yang Hongkai Wen Sen Wang R. Clark Andrew Markham A. Trigoni GAN 33 198 0 26 Aug 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 59 2,776 0 19 Aug 2017
Energy-based Models for Video Anomaly Detection H. Vu Dinh Q. Phung T. Nguyen Anthony Trevors Svetha Venkatesh 26 22 0 17 Aug 2017
Transitive Invariance for Self-supervised Visual Representation Learning Xueliang Wang Kaiming He Abhinav Gupta OOD SSL 19 179 0 09 Aug 2017
Statistics of Deep Generated Images Yu Zeng Huchuan Lu Ali Borji GAN 29 14 0 09 Aug 2017