Learning Hierarchical Features from Generative Models

27 February 2017

Papers citing "Learning Hierarchical Features from Generative Models"

24 / 24 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 159 0 0 24 Apr 2025
Evolved Hierarchical Masking for Self-Supervised Learning Zhanzhou Feng Shiliang Zhang 109 0 0 12 Apr 2025
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 71 158 0 28 Feb 2017
An Architecture for Deep, Hierarchical Generative Models Philip Bachman AI4CE BDL 70 53 0 08 Dec 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 73 340 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 125 675 0 08 Nov 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 196 2,509 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 135 1,818 0 15 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,235 0 12 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 72 1,314 0 02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 92 141 0 31 May 2016
Learning to Generate with Memory Chongxuan Li Jun Zhu Bo Zhang BDL 90 42 0 24 Feb 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 95 911 0 06 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 243 14,005 0 19 Nov 2015
Deconstructing the Ladder Network Architecture Mohammad Pezeshki Linxi Fan Philemon Brakel Aaron Courville Yoshua Bengio 72 98 0 19 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 120 1,145 0 05 Nov 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily L. Denton Soumith Chintala Arthur Szlam Rob Fergus GAN 90 2,241 0 18 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 308 4,175 0 21 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 279 6,925 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
From neural PCA to deep unsupervised learning Harri Valpola BDL 79 184 0 28 Nov 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 232 8,401 0 28 Nov 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 121 2,258 0 30 Oct 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 587 15,874 0 12 Nov 2013