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How (not) to Train your Generative Model: Scheduled Sampling,
  Likelihood, Adversary?

How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?

16 November 2015
Ferenc Huszár
    OOD
    DiffM
    GAN
ArXivPDFHTML

Papers citing "How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?"

4 / 54 papers shown
Title
GANS for Sequences of Discrete Elements with the Gumbel-softmax
  Distribution
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
Matt J. Kusner
José Miguel Hernández-Lobato
GAN
18
326
0
12 Nov 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
66
588
0
27 Oct 2016
Learning in Implicit Generative Models
Learning in Implicit Generative Models
S. Mohamed
Balaji Lakshminarayanan
GAN
25
412
0
11 Oct 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu
Weinan Zhang
Jun Wang
Yong Yu
GAN
20
2,385
0
18 Sep 2016
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