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DAWSON: A Domain Adaptive Few Shot Generation Framework

DAWSON: A Domain Adaptive Few Shot Generation Framework

2 January 2020
Weixin Liang
Zixuan Liu
Can Liu
ArXiv (abs)PDFHTML

Papers citing "DAWSON: A Domain Adaptive Few Shot Generation Framework"

22 / 22 papers shown
Title
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and
  Meta-Learning
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning
Tomaso Fontanini
Eleonora Iotti
Luca Donati
Andrea Prati
GANAI4CE
129
24
0
05 Dec 2019
Counterpoint by Convolution
Counterpoint by Convolution
Cheng-Zhi Anna Huang
Tim Cooijmans
Adam Roberts
Aaron Courville
Douglas Eck
BDL
58
151
0
18 Mar 2019
FIGR: Few-shot Image Generation with Reptile
FIGR: Few-shot Image Generation with Reptile
Louis Clouâtre
Marc Demers
GANVLM
53
98
0
08 Jan 2019
Sample Efficient Adaptive Text-to-Speech
Sample Efficient Adaptive Text-to-Speech
Yutian Chen
Yannis Assael
Brendan Shillingford
David Budden
Scott E. Reed
...
Ben Laurie
Çağlar Gülçehre
Aaron van den Oord
Oriol Vinyals
Nando de Freitas
79
149
0
27 Sep 2018
Music Transformer
Music Transformer
Cheng-Zhi Anna Huang
Ashish Vaswani
Jakob Uszkoreit
Noam M. Shazeer
Ian Simon
Curtis Hawthorne
Andrew M. Dai
Matthew D. Hoffman
Monica Dinculescu
Douglas Eck
202
484
0
12 Sep 2018
This Time with Feeling: Learning Expressive Musical Performance
This Time with Feeling: Learning Expressive Musical Performance
Sageev Oore
Ian Simon
Sander Dieleman
Douglas Eck
Karen Simonyan
136
216
0
10 Aug 2018
Convolutional Generative Adversarial Networks with Binary Neurons for
  Polyphonic Music Generation
Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation
Hao-Wen Dong
Yi-Hsuan Yang
GANMGen
71
94
0
25 Apr 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in
  Music
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
Adam Roberts
Jesse Engel
Colin Raffel
Curtis Hawthorne
Douglas Eck
BDL
71
480
0
13 Mar 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
230
2,232
0
08 Mar 2018
MaskGAN: Better Text Generation via Filling in the______
MaskGAN: Better Text Generation via Filling in the______
W. Fedus
Ian Goodfellow
Andrew M. Dai
82
470
0
23 Jan 2018
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation
Jian Wu
Changran Hu
Yulong Wang
Xiaolin Hu
Jun Zhu
57
83
0
14 Dec 2017
Online Learning with Gated Linear Networks
Online Learning with Gated Linear Networks
J. Veness
Tor Lattimore
Avishkar Bhoopchand
A. Grabska-Barwinska
Christopher Mattern
Peter Toth
137
25
0
05 Dec 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn
  Distributions
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Scott E. Reed
Yutian Chen
T. Paine
Aaron van den Oord
S. M. Ali Eslami
Danilo Jimenez Rezende
Oriol Vinyals
Nando de Freitas
91
88
0
27 Oct 2017
Variational Memory Addressing in Generative Models
Variational Memory Addressing in Generative Models
J. Bornschein
A. Mnih
Daniel Zoran
Danilo Jimenez Rezende
BDL
62
63
0
21 Sep 2017
MuseGAN: Multi-track Sequential Generative Adversarial Networks for
  Symbolic Music Generation and Accompaniment
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong
Wen-Yi Hsiao
Li-Chia Yang
Yi-Hsuan Yang
MGenGAN
129
546
0
19 Sep 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
207
9,548
0
31 Mar 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
300
8,134
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
823
11,909
0
09 Mar 2017
Adversarial Deep Structural Networks for Mammographic Mass Segmentation
Adversarial Deep Structural Networks for Mammographic Mass Segmentation
Wentao Zhu
Xiang Xiang
Trac D. Tran
Xiaohui Xie
MedIm
45
67
0
18 Dec 2016
DeepBach: a Steerable Model for Bach Chorales Generation
DeepBach: a Steerable Model for Bach Chorales Generation
Gaëtan Hadjeres
F. Pachet
Frank Nielsen
83
439
0
03 Dec 2016
One-Shot Generalization in Deep Generative Models
One-Shot Generalization in Deep Generative Models
Danilo Jimenez Rezende
S. Mohamed
Ivo Danihelka
Karol Gregor
Daan Wierstra
BDLVLMDRLLRM
108
254
0
16 Mar 2016
Training generative neural networks via Maximum Mean Discrepancy
  optimization
Training generative neural networks via Maximum Mean Discrepancy optimization
Gintare Karolina Dziugaite
Daniel M. Roy
Zoubin Ghahramani
GAN
84
530
0
14 May 2015
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