Hierarchical Quantized Autoencoders

19 February 2020

Papers citing "Hierarchical Quantized Autoencoders"

42 / 42 papers shown

Title
Discrete Distribution Networks Lei Yang 74 1 0 29 Dec 2023
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 291 10,591 0 17 Feb 2020
Computationally Efficient Neural Image Compression Nick Johnston Elad Eban A. Gordon Johannes Ballé 47 54 0 18 Dec 2019
Neural Image Compression and Explanation Xiang Li Shihao Ji 21 10 0 09 Aug 2019
On the Variance of the Adaptive Learning Rate and Beyond Liyuan Liu Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao Jiawei Han ODL 215 1,900 0 08 Aug 2019
Deep Perceptual Compression Yash J. Patel Srikar Appalaraju R. Manmatha 40 25 0 18 Jul 2019
Perceptual Generative Autoencoders Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull DRL GAN 50 28 0 25 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 123 1,804 0 02 Jun 2019
Classification Accuracy Score for Conditional Generative Models Suman V. Ravuri Oriol Vinyals EGVM 74 233 0 26 May 2019
Exact Rate-Distortion in Autoencoders via Echo Noise Rob Brekelmans Daniel Moyer Aram Galstyan Greg Ver Steeg 39 17 0 15 Apr 2019
Image and Video Compression with Neural Networks: A Review Siwei Ma Xinfeng Zhang Chuanmin Jia Zhenghui Zhao Shiqi Wang Shanshe Wang 51 345 0 07 Apr 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders J. Fauw Sander Dieleman Karen Simonyan GAN 66 37 0 06 Mar 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 50 214 0 06 Feb 2019
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff Yochai Blau T. Michaeli 69 304 0 23 Jan 2019
Adaptive Density Estimation for Generative Models Thomas Lucas K. Shmelkov Alahari Karteek Cordelia Schmid Jakob Verbeek GAN DRL 53 32 0 04 Jan 2019
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 64 443 0 12 Dec 2018
Benefits of over-parameterization with EM Ji Xu Daniel J. Hsu A. Maleki 166 30 0 26 Oct 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 52 184 0 01 Oct 2018
Deep Generative Models for Distribution-Preserving Lossy Compression Michael Tschannen E. Agustsson Mario Lucic 30 131 0 28 May 2018
Generative Adversarial Networks for Extreme Learned Image Compression E. Agustsson Michael Tschannen Fabian Mentzer Radu Timofte Luc Van Gool GAN 63 558 0 09 Apr 2018
World Models David R Ha Jürgen Schmidhuber SyDa 113 1,075 0 27 Mar 2018
Toward Multimodal Image-to-Image Translation Jun-Yan Zhu Richard Y. Zhang Deepak Pathak Trevor Darrell Alexei A. Efros Oliver Wang Eli Shechtman 118 1,351 0 30 Nov 2017
The Perception-Distortion Tradeoff Yochai Blau T. Michaeli SupR 121 810 0 16 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 208 4,989 0 02 Nov 2017
Variational Memory Addressing in Generative Models J. Bornschein A. Mnih Daniel Zoran Danilo Jimenez Rezende BDL 51 63 0 21 Sep 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 66 632 0 19 May 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations E. Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool MQ 57 482 0 03 Apr 2017
Generative Compression Shibani Santurkar David Budden Nir Shavit VGen DiffM GAN 95 189 0 04 Mar 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 62 1,054 0 01 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 68 158 0 28 Feb 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 308 19,612 0 21 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 57 656 0 08 Nov 2016
Hierarchical compositional feature learning Miguel Lazaro-Gredilla Yi Liu D. Phoenix Dileep George BDL OCL 46 12 0 07 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 257 5,360 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 151 2,529 0 02 Nov 2016
Full Resolution Image Compression with Recurrent Neural Networks G. Toderici Damien Vincent Nick Johnston S. Hwang David C. Minnen Joel Shor Michele Covell GAN 47 828 0 18 Aug 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 165 2,503 0 16 Jun 2016
Towards Conceptual Compression Karol Gregor F. Besse Danilo Jimenez Rezende Ivo Danihelka Daan Wierstra DRL OCL SSL BDL 61 248 0 29 Apr 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 95 911 0 06 Feb 2016
A Fast Incremental Gaussian Mixture Model R. Pinto P. Engel 51 67 0 14 Jun 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 224 8,391 0 28 Nov 2014
Neural Variational Inference and Learning in Belief Networks A. Mnih Karol Gregor BDL 147 729 0 31 Jan 2014