Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,351 papers shown

Title
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 30 173 0 17 Jun 2016
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 18 469 0 16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 55 1,798 0 15 Jun 2016
Unsupervised Learning of Predictors from Unpaired Input-Output Samples Jianshu Chen Po-Sen Huang Xiaodong He Jianfeng Gao Li Deng OOD SSL 26 8 0 15 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 106 4,212 0 12 Jun 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,902 0 06 Jun 2016
Neural Net Models for Open-Domain Discourse Coherence Jiwei Li Dan Jurafsky 32 123 0 05 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 20 1,310 0 02 Jun 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains Hernán Asorey R. Mayo-García L. Núñez M. Pascual A. J. Rubio-Montero M. Suárez-Durán L. A. Torres-Niño 31 5 0 30 May 2016
Building an Evaluation Scale using Item Response Theory Yanjun Han Hao Wu Hong-ye Yu 26 42 0 28 May 2016
Linear dynamical neural population models through nonlinear embeddings Yuanjun Gao Evan Archer Liam Paninski John P. Cunningham 24 155 0 26 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 97 3,648 0 26 May 2016
Variational Neural Machine Translation Biao Zhang Deyi Xiong Jinsong Su Hong Duan Min Zhang VLM DRL 35 203 0 25 May 2016
Asymptotically exact inference in differentiable generative models Matthew M. Graham Amos J. Storkey BDL 21 33 0 25 May 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 65 393 0 24 May 2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning Jiaming Song Zhe Gan Lawrence Carin 26 10 0 22 May 2016
Fast $ε$ -free Inference of Simulation Models with Bayesian Conditional Density Estimation George Papamakarios Iain Murray TPM 35 158 0 20 May 2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues Iulian Serban Alessandro Sordoni Ryan J. Lowe Laurent Charlin Joelle Pineau Aaron Courville Yoshua Bengio BDL 54 1,104 0 19 May 2016
Gaussian variational approximation with sparse precision matrices Linda S. L. Tan David J. Nott 35 76 0 18 May 2016
Structured Prediction of 3D Human Pose with Deep Neural Networks Bugra Tekin Isinsu Katircioglu Mathieu Salzmann Vincent Lepetit Pascal Fua 3DH 41 272 0 17 May 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 42 313 0 07 May 2016
Gaussian Copula Variational Autoencoders for Mixed Data Suwon Suh Seungjin Choi DRL 17 14 0 18 Apr 2016
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis Andreas C. Damianou Neil D. Lawrence Carl Henrik Ek 24 12 0 17 Apr 2016
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks Chuan Li Michael Wand GAN 42 1,430 0 15 Apr 2016
A Survey on Bayesian Deep Learning Hao Wang Dit-Yan Yeung BDL 30 49 0 06 Apr 2016
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification Ishan Misra C. L. Zitnick M. Hebert SSL 28 66 0 28 Mar 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 36 482 0 20 Mar 2016
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks Daniel E. Ritchie Anna T. Thomas Pat Hanrahan Noah D. Goodman TPM 28 11 0 19 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks Xinyu Wang Abhinav Gupta GAN 31 617 0 17 Mar 2016
One-Shot Generalization in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Ivo Danihelka Karol Gregor Daan Wierstra BDL VLM DRL LRM 30 254 0 16 Mar 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors Christos Louizos Max Welling BDL 33 253 0 15 Mar 2016
Variational Neural Discourse Relation Recognizer Biao Zhang Deyi Xiong Jinsong Su Qun Liu Rongrong Ji Hong Duan Min Zhang DRL BDL 28 19 0 12 Mar 2016
From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators P. Upchurch Noah Snavely Kavita Bala GAN 32 44 0 07 Mar 2016
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models Yangfeng Ji Gholamreza Haffari Jacob Eisenstein BDL 29 126 0 07 Mar 2016
Classical Statistics and Statistical Learning in Imaging Neuroscience D. Bzdok 21 142 0 06 Mar 2016
Variational methods for Conditional Multimodal Deep Learning Gaurav Pandey Ambedkar Dukkipati GAN DRL CVBM 38 15 0 06 Mar 2016
Overdispersed Black-Box Variational Inference Francisco J. R. Ruiz Michalis K. Titsias David M. Blei 22 47 0 03 Mar 2016
Automatic Differentiation Variational Inference A. Kucukelbir Dustin Tran Rajesh Ranganath Andrew Gelman David M. Blei 47 709 0 02 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 102 1,925 0 25 Feb 2016
Learning to Generate with Memory Chongxuan Li Jun Zhu Bo Zhang BDL 24 42 0 24 Feb 2016
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series Maximilian Sölch Justin Bayer Marvin Ludersdorfer Patrick van der Smagt AI4TS BDL 19 81 0 23 Feb 2016
Understanding Visual Concepts with Continuation Learning William F. Whitney Michael Chang Tejas D. Kulkarni J. Tenenbaum DRL GAN 33 55 0 22 Feb 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 52 288 0 22 Feb 2016
Variational Inference for Sparse and Undirected Models John Ingraham D. Marks 22 8 0 11 Feb 2016
A Theory of Generative ConvNet Jianwen Xie Yang Lu Song-Chun Zhu Ying Nian Wu DiffM GAN 35 318 0 10 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,553 0 25 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision Suraj Srinivas Ravi Kiran Sarvadevabhatla Konda Reddy Mopuri N. Prabhu S. Kruthiventi R. Venkatesh Babu OOD 35 215 0 25 Jan 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 49 4,711 0 04 Jan 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 94 2,053 0 31 Dec 2015
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models Chunyuan Li Changyou Chen Kai Fan Lawrence Carin BDL 37 25 0 23 Dec 2015