BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling

6 February 2019

Papers citing "BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling"

50 / 54 papers shown

Title
Evolved Hierarchical Masking for Self-Supervised Learning Zhanzhou Feng Shiliang Zhang 117 0 0 12 Apr 2025
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 58 0 0 11 Jan 2024
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 91 3 0 03 Sep 2023
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip Torr N. Siddharth Tom Rainforth CML DRL 73 46 0 17 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse James Lucas George Tucker Roger C. Grosse Mohammad Norouzi CoGe DRL 81 180 0 06 Nov 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 82 449 0 01 Feb 2019
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 66 757 0 22 Oct 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 65 186 0 01 Oct 2018
Avoiding Latent Variable Collapse With Generative Skip Models Adji Bousso Dieng Yoon Kim Alexander M. Rush David M. Blei DRL 48 174 0 12 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 295 3,134 0 09 Jul 2018
Generating Sentences Using a Dynamic Canvas Harshil Shah Bowen Zheng David Barber 46 7 0 13 Jun 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 64 76 0 14 Feb 2018
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 50 483 0 27 May 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 88 28 0 03 Apr 2017
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 79 455 0 07 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 73 158 0 28 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation Stanislau Semeniuta Aliaksei Severyn Erhardt Barth 67 252 0 08 Feb 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 105 942 0 19 Jan 2017
Improving Variational Auto-Encoders using Householder Flow Jakub M. Tomczak Max Welling BDL DRL 71 175 0 29 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 75 340 0 15 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 137 675 0 08 Nov 2016
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 406 7,399 0 12 Sep 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 187 260 0 07 Sep 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 204 2,511 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 137 1,820 0 15 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 480 9,052 0 10 Jun 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 266 3,696 0 26 May 2016
Towards Conceptual Compression Karol Gregor F. Besse Danilo Jimenez Rezende Ivo Danihelka Daan Wierstra DRL OCL SSL BDL 66 248 0 29 Apr 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 194 1,942 0 25 Feb 2016
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 75 451 0 17 Feb 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks Alexey Dosovitskiy Thomas Brox DRL GAN 93 1,140 0 08 Feb 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 97 911 0 06 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 469 2,570 0 25 Jan 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 168 2,070 0 31 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
The Variational Gaussian Process Dustin Tran Rajesh Ranganath David M. Blei BDL 81 186 0 20 Nov 2015
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks Jost Tobias Springenberg GAN 85 745 0 19 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 111 2,362 0 19 Nov 2015
Hierarchical Variational Models Rajesh Ranganath Dustin Tran David M. Blei DRL VLM 83 338 0 07 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 268 1,245 0 01 Sep 2015
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 96 1,372 0 09 Jul 2015
Distributional Smoothing with Virtual Adversarial Training Takeru Miyato S. Maeda Masanori Koyama Ken Nakae S. Ishii 91 458 0 02 Jul 2015
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Yukun Zhu Ryan Kiros R. Zemel Ruslan Salakhutdinov R. Urtasun Antonio Torralba Sanja Fidler 122 2,552 0 22 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 313 4,182 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 165 1,961 0 16 Feb 2015
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing Yuri Burda Roger C. Grosse Ruslan Salakhutdinov TPM 141 67 0 30 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 123 2,258 0 30 Oct 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 85 2,742 0 20 Jun 2014