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Neural separation of observed and unobserved distributions

Neural separation of observed and unobserved distributions

30 November 2018
Tavi Halperin
Ariel Ephrat
Yedid Hoshen
ArXivPDFHTML

Papers citing "Neural separation of observed and unobserved distributions"

15 / 15 papers shown
Title
NAM: Non-Adversarial Unsupervised Domain Mapping
NAM: Non-Adversarial Unsupervised Domain Mapping
Yedid Hoshen
Lior Wolf
GAN
21
24
0
03 Jun 2018
The 2018 Signal Separation Evaluation Campaign
The 2018 Signal Separation Evaluation Campaign
Fabian-Robert Stöter
Antoine Liutkus
N. Ito
20
282
0
17 Apr 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
109
4,413
0
16 Feb 2018
Monaural Singing Voice Separation with Skip-Filtering Connections and
  Recurrent Inference of Time-Frequency Mask
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask
S. I. Mimilakis
Konstantinos Drossos
J. F. Santos
G. Schuller
Tuomas Virtanen
Yoshua Bengio
33
40
0
04 Nov 2017
Adversarial Semi-Supervised Audio Source Separation applied to Singing
  Voice Extraction
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction
Daniel Stoller
Sebastian Ewert
S. Dixon
36
72
0
31 Oct 2017
Generative Adversarial Source Separation
Generative Adversarial Source Separation
Cem Subakan
Paris Smaragdis
GAN
129
69
0
30 Oct 2017
Optimizing the Latent Space of Generative Networks
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski
Armand Joulin
David Lopez-Paz
Arthur Szlam
GAN
35
415
0
18 Jul 2017
Unsupervised Learning of Disentangled Representations from Video
Unsupervised Learning of Disentangled Representations from Video
Emily L. Denton
Vighnesh Birodkar
DRL
CoGe
OOD
41
552
0
31 May 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
69
5,554
0
30 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial
  Networks
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim
Moonsu Cha
Hyunsoo Kim
Jung Kwon Lee
Jiwon Kim
GAN
OOD
62
1,979
0
15 Mar 2017
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
178
4,545
0
13 Nov 2016
Generative Visual Manipulation on the Natural Image Manifold
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu
Philipp Krahenbuhl
Eli Shechtman
Alexei A. Efros
GAN
41
1,395
0
12 Sep 2016
Permutation Invariant Training of Deep Models for Speaker-Independent
  Multi-talker Speech Separation
Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation
Dong Yu
Morten Kolbæk
Zheng-Hua Tan
Jesper Jensen
55
853
0
01 Jul 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
197
13,961
0
19 Nov 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
283
16,972
0
20 Dec 2013
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