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Learning with Multiclass AUC: Theory and Algorithms

Learning with Multiclass AUC: Theory and Algorithms

28 July 2021
Zhiyong Yang
Qianqian Xu
Shilong Bao
Xiaochun Cao
Qingming Huang
ArXivPDFHTML

Papers citing "Learning with Multiclass AUC: Theory and Algorithms"

27 / 27 papers shown
Title
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via ααα-βββ-Divergence
Guanghui Wang
Zhiyong Yang
Z. Wang
Shi Wang
Qianqian Xu
Q. Huang
39
0
0
07 May 2025
Sharper Concentration Inequalities for Multi-Graph Dependent Variables
Sharper Concentration Inequalities for Multi-Graph Dependent Variables
Xiao Shao
Guoqiang Wu
60
0
0
25 Feb 2025
An Approach for Auto Generation of Labeling Functions for Software
  Engineering Chatbots
An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots
Ebube Alor
Ahmad Abdellatif
SayedHassan Khatoonabadi
Emad Shihab
31
0
0
09 Oct 2024
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
Boyu Han
Qianqian Xu
Zhiyong Yang
Shilong Bao
Peisong Wen
Yangbangyan Jiang
Qingming Huang
26
2
0
30 Sep 2024
Anisotropic Diffusion Probabilistic Model for Imbalanced Image
  Classification
Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification
Jingyu Kong
Yuan Guo
Yu Wang
Yuping Duan
DiffM
MedIm
31
0
0
22 Sep 2024
Improved Diversity-Promoting Collaborative Metric Learning for
  Recommendation
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
45
5
0
02 Sep 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph
  Out-of-Distribution Detection
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection
Junwei He
Qianqian Xu
Yangbangyan Jiang
Zitai Wang
Yuchen Sun
Qingming Huang
OODD
35
0
0
31 Jul 2024
Not All Pairs are Equal: Hierarchical Learning for
  Average-Precision-Oriented Video Retrieval
Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval
Yang Liu
Qianqian Xu
Peisong Wen
Siran Dai
Qingming Huang
44
0
0
22 Jul 2024
Systematic Literature Review on Application of Learning-based Approaches
  in Continuous Integration
Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration
Ali Kazemi Arani
T. H. Le
Mansooreh Zahedi
M. Ali Babar
16
5
0
28 Jun 2024
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing
  Optimized Kernel Dependence
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
Hongduan Tian
Feng Liu
Tongliang Liu
Bo Du
Yiu-ming Cheung
Bo Han
29
1
0
29 May 2024
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization
  Help?
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?
Ngoc Dang Nguyen
Wei Tan
Lan Du
Wray L. Buntine
Richard Beare
Changyou Chen
18
2
0
02 Nov 2023
Deepfake Detection: Leveraging the Power of 2D and 3D CNN Ensembles
Deepfake Detection: Leveraging the Power of 2D and 3D CNN Ensembles
Aagam Bakliwal
Amit D. Joshi
8
1
0
25 Oct 2023
Frequency Perception Network for Camouflaged Object Detection
Frequency Perception Network for Camouflaged Object Detection
Runmin Cong
Mengyao Sun
Sanyi Zhang
Xiaofei Zhou
Wei Zhang
Yao-Min Zhao
ObjD
26
53
0
17 Aug 2023
AUC Optimization from Multiple Unlabeled Datasets
AUC Optimization from Multiple Unlabeled Datasets
Zheng Xie
Yu Liu
Ming Li
65
0
0
25 May 2023
A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry and
  Generalization
A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry and Generalization
Peifeng Gao
Qianqian Xu
Peisong Wen
Huiyang Shao
Zhiyong Yang
Qingming Huang
12
6
0
18 Apr 2023
Forecasting West Nile Virus with Graph Neural Networks: Harnessing
  Spatial Dependence in Irregularly Sampled Geospatial Data
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data
A. Tonks
Trevor Harris
Bo Li
W. Brown
Rebecca Smith
21
3
0
21 Dec 2022
AUC Maximization for Low-Resource Named Entity Recognition
AUC Maximization for Low-Resource Named Entity Recognition
Ngoc Dang Nguyen
Wei Tan
Wray L. Buntine
Richard Beare
Changyou Chen
Lan Du
26
8
0
09 Dec 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization
  with List Stability
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
Peisong Wen
Qianqian Xu
Zhiyong Yang
Yuan He
Qingming Huang
48
10
0
27 Sep 2022
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
Yangbangyan Jiang Xiaodan Li
Xiaodan Li
YueFeng Chen
Yuan He
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
9
18
0
26 Sep 2022
CustOmics: A versatile deep-learning based strategy for multi-omics
  integration
CustOmics: A versatile deep-learning based strategy for multi-omics integration
Hakim Benkirane
Yoann Pradat
Stefan Michiels
P. Cournède
SyDa
11
4
0
12 Sep 2022
Optimizing Partial Area Under the Top-k Curve: Theory and Practice
Optimizing Partial Area Under the Top-k Curve: Theory and Practice
Zitai Wang
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
20
7
0
03 Sep 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
Zhenhuan Yang
Yan Lok Ko
Kush R. Varshney
Yiming Ying
FaML
22
16
0
22 Aug 2022
Optimizing Two-way Partial AUC with an End-to-end Framework
Optimizing Two-way Partial AUC with an End-to-end Framework
Zhiyong Yang
Qianqian Xu
Shilong Bao
Yuan He
Xiaochun Cao
Qingming Huang
12
16
0
23 Jun 2022
AUC Maximization in the Era of Big Data and AI: A Survey
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang
Yiming Ying
33
178
0
28 Mar 2022
Large-scale Optimization of Partial AUC in a Range of False Positive
  Rates
Large-scale Optimization of Partial AUC in a Range of False Positive Rates
Yao Yao
Qihang Lin
Tianbao Yang
16
15
0
03 Mar 2022
Learning Rates for Nonconvex Pairwise Learning
Learning Rates for Nonconvex Pairwise Learning
Shaojie Li
Yong Liu
20
2
0
09 Nov 2021
On the Consistency of AUC Pairwise Optimization
On the Consistency of AUC Pairwise Optimization
Wei Gao
Zhi-Hua Zhou
61
123
0
03 Aug 2012
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