Title
PixelSNAIL: An Improved Autoregressive Generative Model Xi Chen Nikhil Mishra Mostafa Rohaninejad Pieter Abbeel DRL DiffM BDL GAN 80 276 0 28 Dec 2017
Nonparametric Inference for Auto-Encoding Variational Bayes Erik Bodin Iman Malik Carl Henrik Ek Neill D. F. Campbell DRL BDL 44 16 0 18 Dec 2017
Generating and designing DNA with deep generative models N. Killoran Leo J. Lee Andrew Delong David Duvenaud B. Frey AI4CE 61 147 0 17 Dec 2017
Online Learning with Gated Linear Networks J. Veness Tor Lattimore Avishkar Bhoopchand A. Grabska-Barwinska Christopher Mattern Peter Toth 166 25 0 05 Dec 2017
Spatial PixelCNN: Generating Images from Patches Nader Akoury Anh Totti Nguyen 57 4 0 03 Dec 2017
Auxiliary Guided Autoregressive Variational Autoencoders Thomas Lucas Jakob Verbeek GAN DRL 66 20 0 30 Nov 2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 233 859 0 28 Nov 2017
Scalable Recollections for Continual Lifelong Learning Matthew D Riemer Tim Klinger Djallel Bouneffouf M. Franceschini CLL 78 64 0 17 Nov 2017
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models Jesse Engel Matthew Hoffman Adam Roberts DRL 97 140 0 15 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 213 698 0 15 Nov 2017
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio BDL 93 4 0 15 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 255 5,089 0 02 Nov 2017
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 101 80 0 01 Nov 2017
On the challenges of learning with inference networks on sparse, high-dimensional data Rahul G. Krishnan Dawen Liang Matthew Hoffman CML BDL 87 85 0 17 Oct 2017
Deconvolutional Latent-Variable Model for Text Sequence Matching Dinghan Shen Yizhe Zhang Ricardo Henao Qinliang Su Lawrence Carin DRL BDL 105 68 0 21 Sep 2017
A learning framework for winner-take-all networks with stochastic synapses Hesham Mostafa Gert Cauwenberghs BDL 56 14 0 14 Aug 2017
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures Gaëtan Hadjeres Frank Nielsen F. Pachet DRL 79 65 0 14 Jul 2017
Adversarially Regularized Autoencoders Jiaqi Zhao Yoon Kim Kelly Zhang Alexander M. Rush Yann LeCun DRL GNN GAN 69 78 0 13 Jun 2017
Channel-Recurrent Autoencoding for Image Modeling Wenling Shang Kihyuk Sohn Yuandong Tian DRL GAN 27 3 0 12 Jun 2017
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 107 447 0 07 Jun 2017
On Unifying Deep Generative Models Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing DRL GAN 118 127 0 02 Jun 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 77 100 0 02 Jun 2017
Generative Models of Visually Grounded Imagination Ramakrishna Vedantam Ian S. Fischer Jonathan Huang Kevin Patrick Murphy 101 139 0 30 May 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 80 314 0 24 May 2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation Lei Cai Hongyang Gao Shuiwang Ji 96 69 0 19 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 131 635 0 19 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning Thomas M. Moerland Joost Broekens Catholijn M. Jonker OffRL 87 31 0 01 May 2017
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders Jesse Engel Cinjon Resnick Adam Roberts Sander Dieleman Douglas Eck Karen Simonyan Mohammad Norouzi 130 631 0 05 Apr 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 117 28 0 03 Apr 2017
Prediction and Control with Temporal Segment Models Nikhil Mishra Pieter Abbeel Igor Mordatch BDL 92 64 0 12 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 88 158 0 28 Feb 2017
Learning Hierarchical Features from Generative Models Shengjia Zhao Jiaming Song Stefano Ermon BDL GAN OOD DRL 87 74 0 27 Feb 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions Zichao Yang Zhiting Hu Ruslan Salakhutdinov Taylor Berg-Kirkpatrick 105 389 0 27 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation Stanislau Semeniuta Aliaksei Severyn Erhardt Barth 97 252 0 08 Feb 2017
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 194 831 0 19 Jan 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 169 530 0 17 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 185 1,726 0 31 Dec 2016
PixelCNN Models with Auxiliary Variables for Natural Image Modeling Alexander Kolesnikov Christoph H. Lampert GAN 71 3 0 24 Dec 2016
Piecewise Latent Variables for Neural Variational Text Processing Iulian Serban Alexander Ororbia Joelle Pineau Aaron Courville DRL BDL 74 2 0 01 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 93 340 0 15 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 84 658 0 08 Nov 2016