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MLReal: Bridging the gap between training on synthetic data and real
  data applications in machine learning

MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning

11 September 2021
T. Alkhalifah
Hanchen Wang
O. Ovcharenko
    OOD
ArXiv (abs)PDFHTML

Papers citing "MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning"

6 / 6 papers shown
Title
An introduction to domain adaptation and transfer learning
An introduction to domain adaptation and transfer learning
Wouter M. Kouw
Marco Loog
OOD
45
291
0
31 Dec 2018
Image Inpainting via Generative Multi-column Convolutional Neural
  Networks
Image Inpainting via Generative Multi-column Convolutional Neural Networks
Yi Wang
Xin Tao
Xiaojuan Qi
Xiaoyong Shen
Jiaya Jia
GAN
79
304
0
20 Oct 2018
On the Spectral Bias of Neural Networks
On the Spectral Bias of Neural Networks
Nasim Rahaman
A. Baratin
Devansh Arpit
Felix Dräxler
Min Lin
Fred Hamprecht
Yoshua Bengio
Aaron Courville
161
1,456
0
22 Jun 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
436
2,946
0
15 Sep 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
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