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2002.10648
Cited By
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively
International Conference on Learning Representations (ICLR), 2020
25 February 2020
Haotao Wang
Tianlong Chen
Zinan Lin
Kede Ma
VLM
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Papers citing
"I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively"
16 / 16 papers shown
Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment
Jiebin Yan
Ziwen Tan
Jiale Rao
Lei Wu
Yifan Zuo
Yuming Fang
333
2
0
05 Mar 2025
Learning Where to Edit Vision Transformers
Neural Information Processing Systems (NeurIPS), 2024
Yunqiao Yang
Long-Kai Huang
Shengzhuang Chen
Kede Ma
Ying Wei
KELM
336
4
0
04 Nov 2024
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
Kehua Feng
Keyan Ding
Hongzhi Tan
Kede Ma
Zhihua Wang
...
Yuzhou Cheng
Ge Sun
Guozhou Zheng
Qiang Zhang
H. Chen
409
21
0
10 Apr 2024
When No-Reference Image Quality Models Meet MAP Estimation in Diffusion Latents
Weixia Zhang
Dingquan Li
Guangtao Zhai
Yunbo Wang
Kede Ma
259
0
0
11 Mar 2024
Adaptive Testing of Computer Vision Models
IEEE International Conference on Computer Vision (ICCV), 2022
Irena Gao
Gabriel Ilharco
Scott M. Lundberg
Marco Tulio Ribeiro
VLM
332
49
0
06 Dec 2022
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Md. Mahmudur Rahman
Yikang Shen
Mohammad Arif Ul Alam
233
10
0
18 Oct 2022
Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches
Peibei Cao
Dingquan Li
Kede Ma
423
8
0
29 Jul 2022
Steerable Pyramid Transform Enables Robust Left Ventricle Quantification
Chinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2022
Xiangyang Zhu
Kede Ma
Wufeng Xue
MedIm
179
0
0
20 Jan 2022
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang
Chaowei Xiao
Jean Kossaifi
Zhiding Yu
Anima Anandkumar
Zinan Lin
384
134
0
26 Oct 2021
Debiased Subjective Assessment of Real-World Image Enhancement
Computer Vision and Pattern Recognition (CVPR), 2021
Peibei Cao
Zinan Lin
Kede Ma
314
12
0
18 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
ACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
366
50
0
09 Jun 2021
Self-Damaging Contrastive Learning
International Conference on Machine Learning (ICML), 2021
Ziyu Jiang
Tianlong Chen
Bobak J. Mortazavi
Zinan Lin
CLL
250
82
0
06 Jun 2021
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
International Journal of Computer Vision (IJCV), 2021
Jiebin Yan
Yu Zhong
Yuming Fang
Zinan Lin
Kede Ma
UQCV
269
20
0
27 Feb 2021
RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
IEEE Open Journal of Signal Processing (JOSP), 2021
Zhengzhong Tu
Xiangxu Yu
Yilin Wang
Neil Birkbeck
Balu Adsumilli
A. Bovik
471
214
0
26 Jan 2021
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
Basel Alomair
Jacob Steinhardt
Justin Gilmer
OOD
1.2K
2,259
0
29 Jun 2020
Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Zhihua Wang
Kede Ma
AAML
178
39
0
08 Mar 2020
1
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