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Ladder Variational Autoencoders

6 February 2016

Papers citing "Ladder Variational Autoencoders"

50 / 335 papers shown

Title
The continuous Bernoulli: fixing a pervasive error in variational autoencoders Gabriel Loaiza-Ganem John P. Cunningham DRL 128 84 0 16 Jul 2019
Autoencoding sensory substitution Viktor Tóth L. Parkkonen 33 6 0 14 Jul 2019
Universal audio synthesizer control with normalizing flows P. Esling Naotake Masuda Adrien Bardet R. Despres Axel Chemla-Romeu-Santos 83 45 0 01 Jul 2019
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models C. Biffi Juan J. Cerrolaza G. Tarroni Wenjia Bai A. de Marvao ... Jinming Duan S. Prasad S. Cook D. O’Regan Daniel Rueckert MedIm 95 47 0 28 Jun 2019
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes R. Krishnan Mahesh Subedar Omesh Tickoo BDL 80 47 0 12 Jun 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models N. Detlefsen Søren Hauberg CoGe DRL 57 51 0 11 Jun 2019
Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis Eric Battenberg Soroosh Mariooryad Daisy Stanton RJ Skerry-Ryan Matt Shannon David Kao Tom Bagby BDL 86 45 0 08 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 199 2,385 0 06 Jun 2019
Reliable training and estimation of variance networks N. Detlefsen Martin Jørgensen Søren Hauberg UQCV 124 89 0 04 Jun 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 84 14 0 31 May 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 84 88 0 30 May 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning Simone Rossi Sébastien Marmin Maurizio Filippone BDL 110 16 0 27 May 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations J. Livezey Ahyeon Hwang Jacob Yeung K. Bouchard 98 0 0 23 May 2019
An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE Tianye Zhang Hao Feng Zexian Chen Can Wang Yanhao Huang Yong Tang Wei Chen 23 1 0 22 May 2019
Learning Hierarchical Priors in VAEs Alexej Klushyn Nutan Chen Richard Kurle Botond Cseke Patrick van der Smagt BDL CML DRL 105 101 0 13 May 2019
Boosting Generative Models by Leveraging Cascaded Meta-Models Fan Bao Hang Su Jun Zhu 31 1 0 11 May 2019
Adversarial Variational Embedding for Robust Semi-supervised Learning Xiang Zhang Lina Yao Feng Yuan DRL GAN 64 42 0 07 May 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 151 164 0 27 Apr 2019
Generated Loss and Augmented Training of MNIST VAE Jason Chou DRL GAN 34 5 0 24 Apr 2019
Generated Loss, Augmented Training, and Multiscale VAE Jason Chou Gautam Hathi DRL 33 3 0 23 Apr 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 92 28 0 17 Apr 2019
Unsupervised Recurrent Neural Network Grammars Yoon Kim Alexander M. Rush Lei Yu A. Kuncoro Chris Dyer Gábor Melis LRM RALM SSL 136 115 0 07 Apr 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 109 106 0 03 Apr 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 61 246 0 27 Mar 2019
Bandwidth Extension on Raw Audio via Generative Adversarial Networks S. Kim V. Sathe GAN 58 26 0 21 Mar 2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference Rui Shu Hung Bui Jay Whang Stefano Ermon BDL 56 3 0 27 Feb 2019
STCN: Stochastic Temporal Convolutional Networks Emre Aksan Otmar Hilliges BDL 59 61 0 18 Feb 2019
Contrastive Variational Autoencoder Enhances Salient Features Abubakar Abid James Zou DRL 79 66 0 12 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 93 215 0 06 Feb 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 110 273 0 16 Jan 2019
Dirichlet Variational Autoencoder Weonyoung Joo Wonsung Lee Sungrae Park Il-Chul Moon BDL DRL 128 105 0 09 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 75 39 0 06 Jan 2019
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 121 42 0 17 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 95 447 0 12 Dec 2018
Accelerate CNN via Recursive Bayesian Pruning Yuefu Zhou Ya Zhang Yanfeng Wang Qi Tian BDL 70 58 0 02 Dec 2018
Deep Knockoffs Yaniv Romano Matteo Sesia Emmanuel J. Candès BDL 86 143 0 16 Nov 2018
A General Method for Amortizing Variational Filtering Joseph Marino Milan Cvitkovic Yisong Yue 87 34 0 13 Nov 2018
Simple, Distributed, and Accelerated Probabilistic Programming Like Hui Matthew Hoffman Siyuan Ma Christopher Suter Srinivas Vasudevan Alexey Radul M. Belkin Rif A. Saurous BDL 85 56 0 05 Nov 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 125 111 0 26 Oct 2018
Good Initializations of Variational Bayes for Deep Models Simone Rossi Pietro Michiardi Maurizio Filippone BDL 130 22 0 18 Oct 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 72 186 0 01 Oct 2018
Modulated Variational auto-Encoders for many-to-many musical timbre transfer Adrien Bitton P. Esling Axel Chemla-Romeu-Santos 61 25 0 29 Sep 2018
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM Hyeonwoo Yu Beomhee Lee 74 21 0 14 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 57 37 0 10 Sep 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron Courville DRL 52 48 0 06 Sep 2018
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM Hyeonwoo Yu Beomhee Lee 3DPC 40 15 0 30 Aug 2018
Hierarchical Quantized Representations for Script Generation Noah Weber L. Shekhar Niranjan Balasubramanian Nathanael Chambers BDL 43 32 0 28 Aug 2018
Scalable Population Synthesis with Deep Generative Modeling S. Borysov Jeppe Rich Francisco Câmara Pereira 41 58 0 21 Aug 2018
Auto-Encoding Variational Neural Machine Translation Bryan Eikema Wilker Aziz DRL BDL 84 39 0 27 Jul 2018
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data Changde Du Changying Du Hao Wang Jinpeng Li Wei-Long Zheng Bao-Liang Lu Huiguang He 89 68 0 27 Jul 2018