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Ladder Variational Autoencoders

6 February 2016

Papers citing "Ladder Variational Autoencoders"

35 / 335 papers shown

Title
A Neural Representation of Sketch Drawings David R Ha Douglas Eck 143 870 0 11 Apr 2017
DeepCoder: Semi-parametric Variational Autoencoders for Automatic Facial Action Coding Dieu Linh Tran R. Walecki Ognjen Rudovic Stefanos Eleftheriadis Bjørn Schuller Maja Pantic 81 54 0 07 Apr 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 117 28 0 03 Apr 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 88 158 0 28 Feb 2017
Learning Hierarchical Features from Generative Models Shengjia Zhao Jiaming Song Stefano Ermon BDL GAN OOD DRL 89 74 0 27 Feb 2017
Variational Inference using Implicit Distributions Ferenc Huszár DRL GAN 175 135 0 27 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation Stanislau Semeniuta Aliaksei Severyn Erhardt Barth 103 253 0 08 Feb 2017
Pixel Recursive Super Resolution Ryan Dahl Mohammad Norouzi Jonathon Shlens SupR 150 252 0 02 Feb 2017
Improving Variational Auto-Encoders using Householder Flow Jakub M. Tomczak Max Welling BDL DRL 126 175 0 29 Nov 2016
Bottleneck Conditional Density Estimation Rui Shu Hung Bui Mohammad Ghavamzadeh BDL 60 23 0 25 Nov 2016
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering Zhuxi Jiang Yin Zheng Huachun Tan Bangsheng Tang Hanning Zhou BDL DRL 121 737 0 16 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vazquez Aaron Courville DRL SSL BDL 95 340 0 15 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders Nat Dilokthanakul P. Mediano M. Garnelo M. J. Lee Hugh Salimbeni Kai Arulkumaran Murray Shanahan DRL 87 658 0 08 Nov 2016
Joint Multimodal Learning with Deep Generative Models Masahiro Suzuki Kotaro Nakayama Y. Matsuo DRL GAN 85 224 0 07 Nov 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 219 260 0 07 Sep 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 162 1,828 0 15 Jun 2016
Towards a Neural Statistician Harrison Edwards Amos Storkey BDL 132 428 0 07 Jun 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 129 399 0 24 May 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 274 2,341 0 09 May 2016
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 128 451 0 17 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 575 2,581 0 25 Jan 2016
The Variational Gaussian Process Dustin Tran Rajesh Ranganath David M. Blei BDL 131 186 0 20 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 121 2,368 0 19 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 302 1,247 0 01 Sep 2015
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 113 1,373 0 09 Jul 2015
Bidirectional Helmholtz Machines J. Bornschein Samira Shabanian Asja Fischer Yoshua Bengio 122 26 0 12 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 508 4,208 0 21 May 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 197 1,963 0 16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 598 43,408 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.5K 150,661 0 22 Dec 2014
From neural PCA to deep unsupervised learning Harri Valpola BDL 100 185 0 28 Nov 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 115 2,751 0 20 Jun 2014
Iterative Neural Autoregressive Distribution Estimator (NADE-k) T. Raiko L. Yao Kyunghyun Cho Yoshua Bengio 122 42 0 05 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 554 16,907 0 20 Dec 2013
Theano: new features and speed improvements Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio 118 1,420 0 23 Nov 2012