Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets

12 July 2022

Papers citing "Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets"

22 / 22 papers shown

Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 184 0 0 04 May 2025
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning Chen Shu Mengke Li Yiqun Zhang Yang Lu Bo Han Yiu-ming Cheung Hanzi Wang NoLa 70 0 0 14 Mar 2025
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels F. Cordeiro G. Carneiro NoLa 45 1 0 03 Nov 2024
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels Shumpei Takezaki Kiyohito Tanaka S. Uchida NoLa 35 0 0 29 Oct 2024
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning Rui Zhao Bin Shi Jianfei Ruan Tianze Pan Bo Dong NoLa 34 5 0 08 May 2024
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification Zhuo Li He Zhao Zhen Li Tongliang Liu Dandan Guo Xiang Wan NoLa 46 1 0 10 Apr 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning Heesun Bae Seungjae Shin Byeonghu Na Il-Chul Moon NoLa 46 3 0 05 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity Ying-Hsuan Wu Jun-Wei Hsieh Li Xin Shin-You Teng Yi-Kuan Hsieh Ming-Ching Chang NoLa 51 0 0 04 Mar 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction Jianwei Wang Tianyin Wang Ziqian Zeng 60 1 0 28 Feb 2024
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection Huafeng Liu Mengmeng Sheng Zeren Sun Yazhou Yao Xian-Sheng Hua H. Shen NoLa 26 6 0 17 Feb 2024
Training of Neural Networks with Uncertain Data: A Mixture of Experts Approach Lucas Luttner UQCV 26 1 0 13 Dec 2023
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning Mengliang Zhang Xinyue Hu Lin Gu Liangchen Liu Kazuma Kobayashi Tatsuya Harada Ronald M. Summers Yingying Zhu 36 3 0 06 Sep 2023
Unbiased Scene Graph Generation in Videos Sayak Nag Kyle Min Subarna Tripathi Amit K. Roy-Chowdhury 37 29 0 03 Apr 2023
Instance-specific Label Distribution Regularization for Learning with Label Noise Zehui Liao Shishuai Hu Yutong Xie Yong-quan Xia NoLa 26 3 0 16 Dec 2022
Dynamic Loss For Robust Learning Shenwang Jiang Jianan Li Jizhou Zhang Ying Wang Tingfa Xu NoLa OOD 28 6 0 22 Nov 2022
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation Chenxu Wang Fuli Feng Yang Zhang Qifan Wang Xu Hu Xiangnan He 55 8 0 22 Sep 2022
Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu Yiliang Zhang Bo Han Y. Cheung Hanzi Wang NoLa 48 17 0 21 Aug 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen Jun Zhao 24 54 0 21 Jul 2022
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 247 509 0 15 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,296 0 09 Jun 2011