Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models

8 March 2021

Papers citing "Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models"

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Title
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 58 210 0 22 Apr 2019
Autoregressive Energy Machines C. Nash Conor Durkan 42 55 0 11 Apr 2019
Block Neural Autoregressive Flow Nicola De Cao Ivan Titov Wilker Aziz DRL 20 121 0 09 Apr 2019
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 85 622 0 02 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 60 271 0 29 Mar 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models Erik Nijkamp Mitch Hill Tian Han Song-Chun Zhu Ying Nian Wu 42 154 0 29 Mar 2019
Implicit Generation and Generalization in Energy-Based Models Yilun Du Igor Mordatch BDL DiffM 35 40 0 20 Mar 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 47 46 0 18 Mar 2019
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 44 378 0 14 Mar 2019
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport Matthew Hoffman Pavel Sountsov Joshua V. Dillon I. Langmore Dustin Tran Srinivas Vasudevan BDL 48 106 0 09 Mar 2019
DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis Mkhuseli Ngxande J. Tapamo Michael G. Burke GAN 31 8 0 06 Mar 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions Belinda Tzen Maxim Raginsky DiffM 55 99 0 05 Mar 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Longlong Jing Yingli Tian SSL 98 1,692 0 16 Feb 2019
MaCow: Masked Convolutional Generative Flow Xuezhe Ma Xiang Kong Shanghang Zhang Eduard H. Hovy DRL 45 66 0 12 Feb 2019
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model Alex Jinpeng Wang Kyunghyun Cho VLM 56 353 0 11 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 40 213 0 06 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 45 446 0 01 Feb 2019
Emerging Convolutions for Generative Normalizing Flows Emiel Hoogeboom Rianne van den Berg Max Welling DRL 55 98 0 30 Jan 2019
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler Alexander M. Rush BDL DRL 57 126 0 29 Jan 2019
Maximum Entropy Generators for Energy-Based Models Rithesh Kumar Sherjil Ozair Anirudh Goyal Aaron Courville Yoshua Bengio 39 112 0 24 Jan 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 56 273 0 16 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 45 39 0 06 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 508 10,500 0 12 Dec 2018
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling Jacob Menick Nal Kalchbrenner 53 150 0 04 Dec 2018
Metropolis-Hastings Generative Adversarial Networks Ryan D. Turner Jane Hung Eric Frank Yunus Saatci J. Yosinski GAN 42 99 0 28 Nov 2018
Self-Supervised GANs via Auxiliary Rotation Loss Ting Chen Xiaohua Zhai Marvin Ritter Mario Lucic N. Houlsby SSL GAN 63 302 0 27 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 73 621 0 02 Nov 2018
WaveGlow: A Flow-based Generative Network for Speech Synthesis R. Prenger Rafael Valle Bryan Catanzaro 129 1,024 0 31 Oct 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 85 111 0 26 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 961 93,936 0 11 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 66 861 0 02 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 221 5,363 0 28 Sep 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 67 63 0 26 Sep 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 70 1,381 0 19 Sep 2018
Neural Importance Sampling Thomas Müller Brian McWilliams Fabrice Rousselle Markus Gross Jan Novák 38 359 0 11 Aug 2018
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis Huaibo Huang Zhihang Li Ran He Zhenan Sun Tieniu Tan DRL 38 266 0 17 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 212 3,110 0 09 Jul 2018
The relativistic discriminator: a key element missing from standard GAN Alexia Jolicoeur-Martineau GAN 37 971 0 02 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 232 5,024 0 19 Jun 2018
Autoregressive Quantile Networks for Generative Modeling Georg Ostrovski Will Dabney Rémi Munos DRL 53 87 0 14 Jun 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi Shengyang Sun Jun Zhu 51 90 0 07 Jun 2018
Self-Attention Generative Adversarial Networks Han Zhang Ian Goodfellow Dimitris N. Metaxas Augustus Odena GAN 113 3,710 0 21 May 2018
Deep Energy Estimator Networks Saeed Saremi Arash Mehrjou Bernhard Schölkopf Aapo Hyvarinen 47 73 0 21 May 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity Henry Gouk E. Frank Bernhard Pfahringer M. Cree 108 473 0 12 Apr 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 52 450 0 04 Apr 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 84 439 0 03 Apr 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 46 252 0 15 Mar 2018
Fast Decoding in Sequence Models using Discrete Latent Variables Łukasz Kaiser Aurko Roy Ashish Vaswani Niki Parmar Samy Bengio Jakob Uszkoreit Noam M. Shazeer 38 231 0 09 Mar 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 137 4,421 0 16 Feb 2018
Image Transformer Niki Parmar Ashish Vaswani Jakob Uszkoreit Lukasz Kaiser Noam M. Shazeer Alexander Ku Dustin Tran ViT 90 1,673 0 15 Feb 2018