When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration
Method

When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method

20 November 2022

Papers citing "When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method"

16 / 16 papers shown

Title
A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions Shuxian Zhao Jie Gui Minjing Dong Baosheng Yu Zhipeng Gui Lu Dong Yuan Yan Tang James T. Kwok 29 0 0 21 Apr 2025
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection Yoon Gyo Jung Jaewoo Park Jaeho Yoon Kuan-Chuan Peng Wonchul Kim Andrew Beng Jin Teoh Octavia Camps 40 0 0 03 Apr 2025
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation Lexin Fang Yunyang Xu Xiang Ma Xuemei Li Caiming Zhang 46 0 0 14 Mar 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 61 0 0 14 Mar 2025
Granular-ball Representation Learning for Deep CNN on Learning with Label Noise Dawei Dai Hao Zhu Shuyin Xia Guoyin Wang SSL 27 1 0 05 Sep 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 34 0 0 07 Aug 2024
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification Zhuo Li He Zhao Zhen Li Tongliang Liu Dandan Guo Xiang Wan NoLa 33 1 0 10 Apr 2024
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning Meixuan Li Tianyu Li Guoqing Wang Peng Wang Yang Yang H. Shen 31 0 0 15 Mar 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning Heesun Bae Seungjae Shin Byeonghu Na Il-Chul Moon NoLa 31 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 39 0 0 04 Mar 2024
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls Weihan Xu Julian McAuley Shlomo Dubnov Hao-Wen Dong 18 1 0 21 Nov 2023
Rethinking Weak Supervision in Helping Contrastive Learning Jingyi Cui Weiran Huang Yifei Wang Yisen Wang NoLa SSL 11 13 0 07 Jun 2023
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao W. Wang C. Yuan 13 3 0 11 Oct 2022
Label-Aware Distribution Calibration for Long-tailed Classification Chaozheng Wang Shuzheng Gao Cuiyun Gao Pengyun Wang Wenjie Pei Lujia Pan Zenglin Xu 29 20 0 09 Nov 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 208 322 0 16 Jan 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020