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Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

13 January 2024
Chen-Chen Zong
Ye-Wen Wang
Ming-Kun Xie
Sheng-Jun Huang
ArXivPDFHTML

Papers citing "Dirichlet-Based Prediction Calibration for Learning with Noisy Labels"

4 / 4 papers shown
Title
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
Chen-Chen Zong
Sheng-Jun Huang
EDL
92
0
0
27 Feb 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
C. Kim
Sangwoo Moon
Jihwan Moon
Dongyeon Woo
Gunhee Kim
NoLa
57
0
0
25 Feb 2025
Label Calibration in Source Free Domain Adaptation
Label Calibration in Source Free Domain Adaptation
Shivangi Rai
Rini Smita Thakur
Kunal Jangid
Vinod K. Kurmi
UQCV
43
1
0
13 Jan 2025
Bidirectional Uncertainty-Based Active Learning for Open Set Annotation
Bidirectional Uncertainty-Based Active Learning for Open Set Annotation
Chen-Chen Zong
Ye-Wen Wang
Kun-Peng Ning
Hai-Bo Ye
Sheng-Jun Huang
EDL
26
3
0
23 Feb 2024
1