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RandAugment: Practical automated data augmentation with a reduced search
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RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
    MQ
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Papers citing "RandAugment: Practical automated data augmentation with a reduced search space"

6 / 2,006 papers shown
Title
Distilling Effective Supervision from Severe Label Noise
Distilling Effective Supervision from Severe Label Noise
Zizhao Zhang
Han Zhang
Sercan Ö. Arik
Honglak Lee
Tomas Pfister
NoLa
11
2
0
01 Oct 2019
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised
  Classification with the 1-Laplacian Graph Energy
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy
Angelica I. Aviles-Rivero
Nicolas Papadakis
Ruoteng Li
P. Sellars
Samar M. Alsaleh
R. Tan
Carola-Bibiane Schönlieb
27
3
0
20 Jun 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
100
2,369
0
13 Jun 2019
Certainty Driven Consistency Loss on Multi-Teacher Networks for
  Semi-Supervised Learning
Certainty Driven Consistency Loss on Multi-Teacher Networks for Semi-Supervised Learning
Lu Liu
R. Tan
27
32
0
17 Jan 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,330
0
05 Nov 2016
RenderGAN: Generating Realistic Labeled Data
RenderGAN: Generating Realistic Labeled Data
Leon Sixt
Benjamin Wild
Tim Landgraf
GAN
170
176
0
04 Nov 2016
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