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On Adversarial Mixup Resynthesis

On Adversarial Mixup Resynthesis

7 March 2019
Christopher Beckham
S. Honari
Vikas Verma
Alex Lamb
F. Ghadiri
R. Devon Hjelm
Yoshua Bengio
C. Pal
    AAML
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Papers citing "On Adversarial Mixup Resynthesis"

7 / 7 papers shown
Title
ScoreMix: A Scalable Augmentation Strategy for Training GANs with
  Limited Data
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao
Mandi Luo
Junchi Yu
Mingmin Yang
Ran He
35
4
0
27 Oct 2022
ReMix: Towards Image-to-Image Translation with Limited Data
ReMix: Towards Image-to-Image Translation with Limited Data
Jie Cao
Luanxuan Hou
Ming-Hsuan Yang
Ran He
Zhenan Sun
26
24
0
31 Mar 2021
Combining Ensembles and Data Augmentation can Harm your Calibration
Combining Ensembles and Data Augmentation can Harm your Calibration
Yeming Wen
Ghassen Jerfel
Rafael Muller
Michael W. Dusenberry
Jasper Snoek
Balaji Lakshminarayanan
Dustin Tran
UQCV
32
63
0
19 Oct 2020
KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep
  Learning
KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning
Tarin Clanuwat
Alex Lamb
A. Kitamoto
16
45
0
21 Oct 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Vikas Verma
Meng Qu
Kenji Kawaguchi
Alex Lamb
Yoshua Bengio
Arno Solin
Jian Tang
33
62
0
25 Sep 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Tianyu Pang
Kun Xu
Jun Zhu
AAML
28
103
0
25 Sep 2019
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
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