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Deep Residual Mixture Models

Deep Residual Mixture Models

22 June 2020
Perttu Hämäläinen
Martin Trapp
Tuure Saloheimo
Arno Solin
ArXivPDFHTML

Papers citing "Deep Residual Mixture Models"

4 / 4 papers shown
Title
MAUVE Scores for Generative Models: Theory and Practice
MAUVE Scores for Generative Models: Theory and Practice
Krishna Pillutla
Lang Liu
John Thickstun
Sean Welleck
Swabha Swayamdipta
Rowan Zellers
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
EGVM
35
21
0
30 Dec 2022
Divergence Frontiers for Generative Models: Sample Complexity,
  Quantization Effects, and Frontier Integrals
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Lang Liu
Krishna Pillutla
Sean Welleck
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
MQ
28
14
0
15 Jun 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using
  Divergence Frontiers
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla
Swabha Swayamdipta
Rowan Zellers
John Thickstun
Sean Welleck
Yejin Choi
Zaïd Harchaoui
39
343
0
02 Feb 2021
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
251
2,550
0
25 Jan 2016
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