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PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

19 January 2017
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
ArXiv (abs)PDFHTMLGithub (1943★)

Papers citing "PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications"

50 / 366 papers shown
Title
Pixelated Semantic Colorization
Pixelated Semantic Colorization
Jiaojiao Zhao
Jiawei Han
Ling Shao
Cees G. M. Snoek
127
80
0
27 Jan 2019
Preventing Posterior Collapse with delta-VAEs
Preventing Posterior Collapse with delta-VAEs
Ali Razavi
Aaron van den Oord
Ben Poole
Oriol Vinyals
DRL
94
171
0
10 Jan 2019
Efficient Super Resolution For Large-Scale Images Using Attentional GAN
Efficient Super Resolution For Large-Scale Images Using Attentional GAN
Harsh Nilesh Pathak
Xinxin Li
Shervin Minaee
Brooke Cowan
GAN
51
24
0
12 Dec 2018
FPETS : Fully Parallel End-to-End Text-to-Speech System
FPETS : Fully Parallel End-to-End Text-to-Speech System
Dabiao Ma
Zhiba Su
Wenxuan Wang
Yuhao Lu
55
6
0
12 Dec 2018
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
191
1,490
0
11 Dec 2018
Bayesian Layers: A Module for Neural Network Uncertainty
Bayesian Layers: A Module for Neural Network Uncertainty
Dustin Tran
Michael W. Dusenberry
Mark van der Wilk
Danijar Hafner
UQCVBDL
131
124
0
10 Dec 2018
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data
Pierre-Alexandre Mattei
J. Frellsen
SyDa
90
46
0
06 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding
Adversarial Defense by Stratified Convolutional Sparse Coding
Bo Sun
Nian-hsuan Tsai
Fangchen Liu
Ronald Yu
Hao Su
AAML
74
76
0
30 Nov 2018
LP-WaveNet: Linear Prediction-based WaveNet Speech Synthesis
LP-WaveNet: Linear Prediction-based WaveNet Speech Synthesis
Min-Jae Hwang
Frank Soong
Fenglong Xie
Xi Wang
Hyeonjoo Kang
Hong-Goo Kang
51
21
0
29 Nov 2018
Style and Content Disentanglement in Generative Adversarial Networks
Style and Content Disentanglement in Generative Adversarial Networks
Hadi Kazemi
Seyed Mehdi Iranmanesh
Nasser M. Nasrabadi
GANDRL
72
69
0
14 Nov 2018
High-quality speech coding with SampleRNN
High-quality speech coding with SampleRNN
Adam Conkey
Per Hedelin
Cong Zhou
Tucker Hermans
Lars Villemoes
71
59
0
07 Nov 2018
The LORACs prior for VAEs: Letting the Trees Speak for the Data
The LORACs prior for VAEs: Letting the Trees Speak for the Data
Sharad Vikram
Matthew D. Hoffman
Matthew J. Johnson
CMLBDL
68
15
0
16 Oct 2018
PointGrow: Autoregressively Learned Point Cloud Generation with
  Self-Attention
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
Yongbin Sun
Yue Wang
Ziwei Liu
J. Siegel
Sanjay E. Sarma
3DPC
85
196
0
12 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILMAAML
102
49
0
02 Oct 2018
A Less Biased Evaluation of Out-of-distribution Sample Detectors
A Less Biased Evaluation of Out-of-distribution Sample Detectors
Alireza Shafaei
Mark Schmidt
James J. Little
OODD
129
58
0
13 Sep 2018
3D-Aware Scene Manipulation via Inverse Graphics
3D-Aware Scene Manipulation via Inverse Graphics
Shunyu Yao
T. Hsu
Jun-Yan Zhu
Jiajun Wu
Antonio Torralba
William T. Freeman
J. Tenenbaum
3DPC3DV
122
86
0
28 Aug 2018
Skill Rating for Generative Models
Skill Rating for Generative Models
Catherine Olsson
Surya Bhupatiraju
Tom B. Brown
Augustus Odena
Ian Goodfellow
72
33
0
14 Aug 2018
Analyzing Inverse Problems with Invertible Neural Networks
Analyzing Inverse Problems with Invertible Neural Networks
Lynton Ardizzone
Jakob Kruse
Sebastian J. Wirkert
D. Rahner
E. Pellegrini
R. Klessen
Lena Maier-Hein
Carsten Rother
Ullrich Kothe
116
494
0
14 Aug 2018
Pervasive Attention: 2D Convolutional Neural Networks for
  Sequence-to-Sequence Prediction
Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
Maha Elbayad
Laurent Besacier
Jakob Verbeek
HAI
82
82
0
11 Aug 2018
Wasserstein GAN and Waveform Loss-based Acoustic Model Training for
  Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder
Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder
Yi Zhao
Shinji Takaki
Hieu-Thi Luong
Junichi Yamagishi
Daisuke Saito
Nobuaki Minematsu
71
64
0
31 Jul 2018
Diverse feature visualizations reveal invariances in early layers of
  deep neural networks
Diverse feature visualizations reveal invariances in early layers of deep neural networks
Santiago A. Cadena
Marissa A. Weis
Leon A. Gatys
Matthias Bethge
Alexander S. Ecker
FAtt
74
29
0
27 Jul 2018
How good is my GAN?
How good is my GAN?
K. Shmelkov
Cordelia Schmid
Alahari Karteek
GANEGVM
57
350
0
25 Jul 2018
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
Ming-Yu Liu
Kainan Peng
Jitong Chen
93
347
0
19 Jul 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi
Ranya Almohsen
Donald Adjeroh
Gianfranco Doretto
UQCV
67
323
0
06 Jul 2018
Detecting Visual Relationships Using Box Attention
Detecting Visual Relationships Using Box Attention
Alexander Kolesnikov
Alina Kuznetsova
Christoph H. Lampert
V. Ferrari
97
65
0
05 Jul 2018
Learning in Variational Autoencoders with Kullback-Leibler and Renyi
  Integral Bounds
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds
Septimia Sârbu
Riccardo Volpi
Alexandra Peste
Luigi Malagò
DRL
26
0
0
05 Jul 2018
The challenge of realistic music generation: modelling raw audio at
  scale
The challenge of realistic music generation: modelling raw audio at scale
Sander Dieleman
Aaron van den Oord
Karen Simonyan
95
186
0
26 Jun 2018
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable
  Representations
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
Zhilin Yang
Jiaqi Zhao
Bhuwan Dhingra
Kaiming He
William W. Cohen
Ruslan Salakhutdinov
Yann LeCun
70
36
0
14 Jun 2018
Autoregressive Quantile Networks for Generative Modeling
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski
Will Dabney
Rémi Munos
DRL
120
87
0
14 Jun 2018
Theory and Experiments on Vector Quantized Autoencoders
Theory and Experiments on Vector Quantized Autoencoders
Aurko Roy
Ashish Vaswani
Arvind Neelakantan
Niki Parmar
91
88
0
28 May 2018
Adversarial Training of Variational Auto-encoders for High Fidelity
  Image Generation
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation
Salman H. Khan
Munawar Hayat
Nick Barnes
GANDRL
58
21
0
27 Apr 2018
Speaker-independent raw waveform model for glottal excitation
Speaker-independent raw waveform model for glottal excitation
Lauri Juvela
Vassilis Tsiaras
Bajibabu Bollepalli
Manu Airaksinen
Junichi Yamagishi
P. Alku
54
39
0
25 Apr 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh
Andrew M. Dai
Thang Luong
Quoc V. Le
96
181
0
01 Mar 2018
Efficient Neural Audio Synthesis
Efficient Neural Audio Synthesis
Nal Kalchbrenner
Erich Elsen
Karen Simonyan
Seb Noury
Norman Casagrande
Edward Lockhart
Florian Stimberg
Aaron van den Oord
Sander Dieleman
Koray Kavukcuoglu
99
872
0
23 Feb 2018
Stochastic Video Generation with a Learned Prior
Stochastic Video Generation with a Learned Prior
Emily L. Denton
Rob Fergus
VGen
112
526
0
21 Feb 2018
Are Generative Classifiers More Robust to Adversarial Attacks?
Are Generative Classifiers More Robust to Adversarial Attacks?
Yingzhen Li
John Bradshaw
Yash Sharma
AAML
102
79
0
19 Feb 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
J. Uesato
Brendan O'Donoghue
Aaron van den Oord
Pushmeet Kohli
AAML
179
606
0
15 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping
  Transformations
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Arash Vahdat
W. Macready
Zhengbing Bian
Amir Khoshaman
Evgeny Andriyash
88
76
0
14 Feb 2018
PixelSNAIL: An Improved Autoregressive Generative Model
PixelSNAIL: An Improved Autoregressive Generative Model
Xi Chen
Nikhil Mishra
Mostafa Rohaninejad
Pieter Abbeel
DRLDiffMBDLGAN
80
276
0
28 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILMAAML
131
1,628
0
19 Dec 2017
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram
  Predictions
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
Jonathan Shen
Ruoming Pang
Ron J. Weiss
M. Schuster
Navdeep Jaitly
...
Yuxuan Wang
RJ Skerry-Ryan
Rif A. Saurous
Yannis Agiomyrgiannakis
Yonghui Wu
85
2,707
0
16 Dec 2017
Auxiliary Guided Autoregressive Variational Autoencoders
Auxiliary Guided Autoregressive Variational Autoencoders
Thomas Lucas
Jakob Verbeek
GANDRL
66
20
0
30 Nov 2017
TensorFlow Distributions
TensorFlow Distributions
Joshua V. Dillon
I. Langmore
Dustin Tran
E. Brevdo
Srinivas Vasudevan
David A. Moore
Brian Patton
Alexander A. Alemi
Matt Hoffman
Rif A. Saurous
GP
120
352
0
28 Nov 2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
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
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
140
884
0
26 Nov 2017
How Generative Adversarial Networks and Their Variants Work: An Overview
How Generative Adversarial Networks and Their Variants Work: An Overview
Yongjun Hong
Uiwon Hwang
Jaeyoon Yoo
Sungroh Yoon
GAN
129
159
0
16 Nov 2017
Adversarial Symmetric Variational Autoencoder
Adversarial Symmetric Variational Autoencoder
Yunchen Pu
Weiyao Wang
Ricardo Henao
Liqun Chen
Zhe Gan
Chunyuan Li
Lawrence Carin
DRLGAN
95
1
0
14 Nov 2017
Fixing a Broken ELBO
Fixing a Broken ELBO
Alexander A. Alemi
Ben Poole
Ian S. Fischer
Joshua V. Dillon
Rif A. Saurous
Kevin Patrick Murphy
DRLBDL
101
80
0
01 Nov 2017
PixelDefend: Leveraging Generative Models to Understand and Defend
  against Adversarial Examples
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
Yang Song
Taesup Kim
Sebastian Nowozin
Stefano Ermon
Nate Kushman
AAML
137
791
0
30 Oct 2017
Automated Design using Neural Networks and Gradient Descent
Automated Design using Neural Networks and Gradient Descent
O. Hennigh
48
8
0
27 Oct 2017
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