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mixup: Beyond Empirical Risk Minimization
v1v2 (latest)

mixup: Beyond Empirical Risk Minimization

International Conference on Learning Representations (ICLR), 2017
25 October 2017
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
    NoLa
ArXiv (abs)PDFHTML

Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 5,332 papers shown
Bridging the Generalization Gap: Training Robust Models on Confounded
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A. Kannan
Adam Drake
Marvin Bertin
Nathan Wan
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71
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Controlling Covariate Shift using Balanced Normalization of Weights
Controlling Covariate Shift using Balanced Normalization of Weights
Aaron Defazio
Léon Bottou
56
0
0
11 Dec 2018
Detecting Adversarial Examples in Convolutional Neural Networks
Detecting Adversarial Examples in Convolutional Neural Networks
Stefanos Pertigkiozoglou
Petros Maragos
GANAAML
143
18
0
08 Dec 2018
The Visual Centrifuge: Model-Free Layered Video Representations
The Visual Centrifuge: Model-Free Layered Video Representations
Jean-Baptiste Alayrac
João Carreira
Andrew Zisserman
197
49
0
04 Dec 2018
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
746
1,539
0
04 Dec 2018
Deep Learning for Classical Japanese Literature
Deep Learning for Classical Japanese Literature
Tarin Clanuwat
Mikel Bober-Irizar
A. Kitamoto
Alex Lamb
Kazuaki Yamamoto
David R Ha
335
800
0
03 Dec 2018
Snapshot Distillation: Teacher-Student Optimization in One Generation
Snapshot Distillation: Teacher-Student Optimization in One Generation
Chenglin Yang
Lingxi Xie
Chi Su
Alan Yuille
227
220
0
01 Dec 2018
Large-Scale Distributed Second-Order Optimization Using
  Kronecker-Factored Approximate Curvature for Deep Convolutional Neural
  Networks
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks
Kazuki Osawa
Yohei Tsuji
Yuichiro Ueno
Akira Naruse
Rio Yokota
Satoshi Matsuoka
ODL
340
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0
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Label-Noise Robust Generative Adversarial Networks
Label-Noise Robust Generative Adversarial Networks
Takuhiro Kaneko
Yoshitaka Ushiku
Tatsuya Harada
NoLa
253
69
0
27 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust
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Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks
Jianyu Wang
Haichao Zhang
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176
120
0
26 Nov 2018
Combining High-Level Features of Raw Audio Waves and Mel-Spectrograms
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Combining High-Level Features of Raw Audio Waves and Mel-Spectrograms for Audio Tagging
Marcel Lederle
Benjamin Wilhelm
51
10
0
26 Nov 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Ryo Takahashi
Takashi Matsubara
K. Uehara
293
375
0
22 Nov 2018
A Baseline for Multi-Label Image Classification Using An Ensemble of
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A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks
Qian Wang
Ning Jia
T. Breckon
UQCV
289
10
0
20 Nov 2018
Limited Gradient Descent: Learning With Noisy Labels
Limited Gradient Descent: Learning With Noisy LabelsIEEE Access (IEEE Access), 2018
Yi Sun
Yan Tian
Yiping Xu
Jianxiang Li
NoLa
235
13
0
20 Nov 2018
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise
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PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution
Van-Thanh Hoang
K. Jo
132
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0
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AclNet: efficient end-to-end audio classification CNN
AclNet: efficient end-to-end audio classification CNN
Jonathan Huang
Juan Jose Alvarado Leanos
117
54
0
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Drop-Activation: Implicit Parameter Reduction and Harmonic
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Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization
Senwei Liang
Y. Khoo
Haizhao Yang
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162
2
0
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Learning data augmentation policies using augmented random search
Learning data augmentation policies using augmented random search
Mingyang Geng
Kele Xu
Bo Ding
Huaimin Wang
Lei Zhang
114
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0
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Generalization Bounds for Vicinal Risk Minimization Principle
Generalization Bounds for Vicinal Risk Minimization Principle
Chao Zhang
Min-hsiu Hsieh
Dacheng Tao
AAML
150
9
0
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Learning to Defend by Learning to Attack
Learning to Defend by Learning to Attack
Haoming Jiang
Zhehui Chen
Yuyang Shi
Bo Dai
T. Zhao
270
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General audio tagging with ensembling convolutional neural network and
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General audio tagging with ensembling convolutional neural network and statistical features
Kele Xu
Boqing Zhu
Qiuqiang Kong
Haibo Mi
Bo Ding
Dezhi Wang
Huaimin Wang
119
34
0
30 Oct 2018
Automatic Brain Tumor Segmentation using Convolutional Neural Networks
  with Test-Time Augmentation
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation
Guotai Wang
Wenqi Li
Sebastien Ourselin
Tom Vercauteren
114
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0
18 Oct 2018
Interpreting Adversarial Robustness: A View from Decision Surface in
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Interpreting Adversarial Robustness: A View from Decision Surface in Input Space
Fuxun Yu
Chenchen Liu
Yanzhi Wang
Bo Pan
Xiang Chen
AAMLOOD
319
29
0
29 Sep 2018
Predicting the Generalization Gap in Deep Networks with Margin
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Predicting the Generalization Gap in Deep Networks with Margin Distributions
Yiding Jiang
Dilip Krishnan
H. Mobahi
Samy Bengio
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336
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Adversarial Attacks on Cognitive Self-Organizing Networks: The Challenge
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Adversarial Attacks on Cognitive Self-Organizing Networks: The Challenge and the Way Forward
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123
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Semi-Supervised Sequence Modeling with Cross-View Training
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Kevin Clark
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Albumentations: fast and flexible image augmentations
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Alex Parinov
Eugene Khvedchenya
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Alexandr A Kalinin
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Label Denoising with Large Ensembles of Heterogeneous Neural Networks
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Pavel Ostyakov
Elizaveta Logacheva
Roman Suvorov
Vladimir Aliev
Gleb Sterkin
Oleg Khomenko
Sergey I. Nikolenko
NoLa
118
28
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12 Sep 2018
Privacy-Preserving Deep Learning via Weight Transmission
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T. Phuong
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MixUp as Locally Linear Out-Of-Manifold Regularization
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Ziqiao Wang
Yongyi Mao
Richong Zhang
375
340
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Deep Bilevel Learning
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Paolo Favaro
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173
120
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Deep Convolutional Neural Network with Mixup for Environmental Sound
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Zhichao Zhang
Shugong Xu
Shan Cao
Shunqing Zhang
121
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Out-of-Distribution Detection using Multiple Semantic Label
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Joseph Keshet
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225
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Sample Mixed-Based Data Augmentation for Domestic Audio Tagging
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Shengyun Wei
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Feifan Liao
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649
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Normalization Before Shaking Toward Learning Symmetrically Distributed
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Shrikanth S. Narayanan
126
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Acoustic Scene Classification: A Competition Review
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Aggregated Learning: A Deep Learning Framework Based on
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A Simple Probabilistic Model for Uncertainty Estimation
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Noise Contrastive Priors for Functional Uncertainty
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On the Spectral Bias of Neural Networks
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Manifold Mixup: Better Representations by Interpolating Hidden States
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