GENs: Generative Encoding Networks

28 October 2020

Papers citing "GENs: Generative Encoding Networks"

25 / 25 papers shown

Title
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai Ziyu Wang David Wipf DRL 68 76 0 23 Dec 2019
Generative Latent Flow Zhisheng Xiao Qing Yan Y. Amit DRL 36 15 0 24 May 2019
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 59 380 0 14 Mar 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 152 1,494 0 10 Jan 2019
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 64 443 0 12 Dec 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders Stanislav Pidhorskyi Ranya Almohsen Donald Adjeroh Gianfranco Doretto UQCV 40 321 0 06 Jul 2018
Distribution Matching in Variational Inference Mihaela Rosca Balaji Lakshminarayanan S. Mohamed GAN CML DRL 56 98 0 19 Feb 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 73 1,465 0 13 Jan 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 210 5,004 0 02 Nov 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 66 633 0 19 May 2017
It Takes (Only) Two: Adversarial Generator-Encoder Networks Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky GAN 58 135 0 07 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 189 9,545 0 31 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 79 2,105 0 17 Jan 2017
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 325 4,572 0 13 Nov 2016
Generative Visual Manipulation on the Natural Image Manifold Jun-Yan Zhu Philipp Krahenbuhl Eli Shechtman Alexei A. Efros GAN 69 1,396 0 12 Sep 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 476 9,044 0 10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 141 1,655 0 02 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
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 258 3,693 0 26 May 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
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 86 2,223 0 18 Nov 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 168 867 0 12 Feb 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 98 847 0 10 Feb 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 435 16,940 0 20 Dec 2013