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High-Fidelity Audio Generation and Representation Learning with Guided
  Adversarial Autoencoder

High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder

1 June 2020
Kazi Nazmul Haque
R. Rana
Björn W Schuller
    DRL
ArXivPDFHTML

Papers citing "High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder"

23 / 73 papers shown
Title
SoundNet: Learning Sound Representations from Unlabeled Video
SoundNet: Learning Sound Representations from Unlabeled Video
Y. Aytar
Carl Vondrick
Antonio Torralba
SSL
105
1,040
0
27 Oct 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OOD
SSeg
VLM
SSL
99
676
0
30 Aug 2016
Unsupervised Feature Learning Based on Deep Models for Environmental
  Audio Tagging
Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging
Yong-mei Xu
Qiang Huang
Wenwu Wang
Peter Foster
Siddharth Sigtia
Philip J. B. Jackson
Mark D. Plumbley
49
79
0
13 Jul 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
157
4,232
0
12 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
454
9,027
0
10 Jun 2016
Adversarially Learned Inference
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
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
89
141
0
31 May 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
122
3,530
0
28 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
81
1,012
0
22 Mar 2016
Audio Word2Vec: Unsupervised Learning of Audio Segment Representations
  using Sequence-to-sequence Autoencoder
Audio Word2Vec: Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Autoencoder
Yu-An Chung
Chao-Chung Wu
Chia-Hao Shen
Hung-yi Lee
Lin-Shan Lee
AI4TS
60
182
0
03 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
348
14,223
0
23 Feb 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN
  Architectures, Dataset Characteristics and Transfer Learning
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin
H. Roth
Mingchen Gao
Le Lu
Ziyue Xu
Isabella Nogues
Jianhua Yao
D. Mollura
Ronald M. Summers
58
4,595
0
10 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
243
13,989
0
19 Nov 2015
Unsupervised and Semi-supervised Learning with Categorical Generative
  Adversarial Networks
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Jost Tobias Springenberg
GAN
79
745
0
19 Nov 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
84
2,226
0
18 Nov 2015
Learning Representations of Affect from Speech
Learning Representations of Affect from Speech
Sayan Ghosh
Eugene Laksana
Louis-Philippe Morency
Stefan Scherer
SSL
28
29
0
15 Nov 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,782
0
19 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
397
43,589
0
17 Sep 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
412
16,947
0
20 Dec 2013
Generalized Denoising Auto-Encoders as Generative Models
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio
L. Yao
Guillaume Alain
Pascal Vincent
101
539
0
29 May 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
220
12,422
0
24 Jun 2012
Rényi Divergence and Kullback-Leibler Divergence
Rényi Divergence and Kullback-Leibler Divergence
T. Erven
P. Harremoes
73
1,334
0
12 Jun 2012
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