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I Am Going MAD: Maximum Discrepancy Competition for Comparing
  Classifiers Adaptively

I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively

25 February 2020
Haotao Wang
Tianlong Chen
Zhangyang Wang
Kede Ma
    VLM
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Papers citing "I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively"

4 / 4 papers shown
Title
AugMax: Adversarial Composition of Random Augmentations for Robust
  Training
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang
Chaowei Xiao
Jean Kossaifi
Zhiding Yu
Anima Anandkumar
Zhangyang Wang
19
106
0
26 Oct 2021
RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated
  Content
RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
Zhengzhong Tu
Xiangxu Yu
Yilin Wang
N. Birkbeck
Balu Adsumilli
A. Bovik
6
151
0
26 Jan 2021
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
60
1,664
0
29 Jun 2020
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
156
789
0
24 Nov 2014
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