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How Does Mixup Help With Robustness and Generalization?

How Does Mixup Help With Robustness and Generalization?

9 October 2020
Linjun Zhang
Zhun Deng
Kenji Kawaguchi
Amirata Ghorbani
James Zou
    AAML
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Papers citing "How Does Mixup Help With Robustness and Generalization?"

14 / 64 papers shown
Title
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated
  Channel Maps
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Jiawei Li
Sung-Ho Bae
Zhenguo Li
AAML
43
17
0
09 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior
  Perspective
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Zhengzhuo Xu
Zenghao Chai
Chun Yuan
65
52
0
06 Nov 2021
Towards Understanding the Data Dependency of Mixup-style Training
Towards Understanding the Data Dependency of Mixup-style Training
Muthuraman Chidambaram
Xiang Wang
Yuzheng Hu
Chenwei Wu
Rong Ge
UQCV
47
24
0
14 Oct 2021
Representational Continuity for Unsupervised Continual Learning
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLL
SSL
66
112
0
13 Oct 2021
Label-Occurrence-Balanced Mixup for Long-tailed Recognition
Label-Occurrence-Balanced Mixup for Long-tailed Recognition
Shaoyu Zhang
Chen Chen
Xiujuan Zhang
Silong Peng
21
7
0
11 Oct 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random
  Forest
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest
Gilad Cohen
Raja Giryes
AAML
35
4
0
16 Sep 2021
Adversarial Training Helps Transfer Learning via Better Representations
Adversarial Training Helps Transfer Learning via Better Representations
Zhun Deng
Linjun Zhang
Kailas Vodrahalli
Kenji Kawaguchi
James Zou
GAN
36
52
0
18 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
38
78
0
13 Jun 2021
Guided Interpolation for Adversarial Training
Guided Interpolation for Adversarial Training
Chen Chen
Jingfeng Zhang
Xilie Xu
Tianlei Hu
Gang Niu
Gang Chen
Masashi Sugiyama
AAML
30
10
0
15 Feb 2021
When and How Mixup Improves Calibration
When and How Mixup Improves Calibration
Linjun Zhang
Zhun Deng
Kenji Kawaguchi
James Zou
UQCV
31
67
0
11 Feb 2021
DeepLesionBrain: Towards a broader deep-learning generalization for
  multiple sclerosis lesion segmentation
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation
R. A. Kamraoui
Vinh-Thong Ta
T. Tourdias
Boris Mansencal
J. V. Manjón
Pierrick Coupé
OOD
31
50
0
14 Dec 2020
Improving Generalization in Meta-learning via Task Augmentation
Improving Generalization in Meta-learning via Task Augmentation
Huaxiu Yao
Long-Kai Huang
Linjun Zhang
Ying Wei
Li Tian
James Zou
Junzhou Huang
Z. Li
50
81
0
26 Jul 2020
Dropout: Explicit Forms and Capacity Control
Dropout: Explicit Forms and Capacity Control
R. Arora
Peter L. Bartlett
Poorya Mianjy
Nathan Srebro
64
37
0
06 Mar 2020
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
127
577
0
27 Feb 2015
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