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mixup: Beyond Empirical Risk Minimization

mixup: Beyond Empirical Risk Minimization

25 October 2017
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
    NoLa
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Papers citing "mixup: Beyond Empirical Risk Minimization"

14 / 4,964 papers shown
Title
Joint Optimization Framework for Learning with Noisy Labels
Joint Optimization Framework for Learning with Noisy Labels
Daiki Tanaka
Daiki Ikami
T. Yamasaki
Kiyoharu Aizawa
NoLa
25
701
0
30 Mar 2018
Adversarial Logit Pairing
Adversarial Logit Pairing
Harini Kannan
Alexey Kurakin
Ian Goodfellow
AAML
10
624
0
16 Mar 2018
Retrieval-Augmented Convolutional Neural Networks for Improved
  Robustness against Adversarial Examples
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples
Jake Zhao
Kyunghyun Cho
AAML
11
20
0
26 Feb 2018
Query-Free Attacks on Industry-Grade Face Recognition Systems under
  Resource Constraints
Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints
Di Tang
XiaoFeng Wang
Kehuan Zhang
AAML
33
1
0
13 Feb 2018
ShakeDrop Regularization for Deep Residual Learning
ShakeDrop Regularization for Deep Residual Learning
Yoshihiro Yamada
Masakazu Iwamura
Takuya Akiba
K. Kise
13
162
0
07 Feb 2018
The Hybrid Bootstrap: A Drop-in Replacement for Dropout
The Hybrid Bootstrap: A Drop-in Replacement for Dropout
R. Kosar
D. W. Scott
BDL
19
1
0
22 Jan 2018
A3T: Adversarially Augmented Adversarial Training
A3T: Adversarially Augmented Adversarial Training
Akram Erraqabi
A. Baratin
Yoshua Bengio
Simon Lacoste-Julien
AAML
30
9
0
12 Jan 2018
Data Augmentation by Pairing Samples for Images Classification
Data Augmentation by Pairing Samples for Images Classification
H. Inoue
14
420
0
09 Jan 2018
Gradient Regularization Improves Accuracy of Discriminative Models
Gradient Regularization Improves Accuracy of Discriminative Models
D. Varga
Adrián Csiszárik
Zsolt Zombori
16
53
0
28 Dec 2017
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
  on Corrupted Labels
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang
Zhengyuan Zhou
Thomas Leung
Li-Jia Li
Li Fei-Fei
NoLa
25
1,436
0
14 Dec 2017
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
Hieu M. Le
T. F. Y. Vicente
Vu Nguyen
Minh Hoai
Dimitris Samaras
18
114
0
04 Dec 2017
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and
  Uncovering Biases
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases
Pierre Stock
Moustapha Cissé
FaML
25
46
0
30 Nov 2017
Between-class Learning for Image Classification
Between-class Learning for Image Classification
Yuji Tokozume
Yoshitaka Ushiku
Tatsuya Harada
SSL
17
205
0
28 Nov 2017
Gradually Updated Neural Networks for Large-Scale Image Recognition
Gradually Updated Neural Networks for Large-Scale Image Recognition
Siyuan Qiao
Zhishuai Zhang
Wei Shen
Bo Wang
Alan Yuille
14
16
0
25 Nov 2017
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