Label-Noise Learning with Intrinsically Long-Tailed Data

21 August 2022

Bo Han

Papers citing "Label-Noise Learning with Intrinsically Long-Tailed Data"

27 / 27 papers shown

Title
Identifying Hard Noise in Long-Tailed Sample Distribution Xuanyu Yi Kaihua Tang Xiansheng Hua J. Lim Hanwang Zhang 50 23 0 27 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei Wang NoLa 52 44 0 12 Jul 2022
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 63 176 0 08 Mar 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data Shenwang Jiang Jianan Li Ying Wang Bo Huang Zhang Zhang Tingfa Xu NoLa 70 32 0 30 Dec 2021
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification Beier Zhu Yulei Niu Xiansheng Hua Hanwang Zhang 58 42 0 29 Dec 2021
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations Jiaheng Wei Zhaowei Zhu Weiran Wang Tongliang Liu Gang Niu Yang Liu NoLa 122 252 0 22 Oct 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning Hyuck Lee Seungjae Shin Heeyoung Kim CLL 54 94 0 20 Oct 2021
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 118 136 0 06 Oct 2021
Robust Long-Tailed Learning under Label Noise Tong Wei Jiang-Xin Shi Wei-Wei Tu Yu-Feng Li NoLa 72 50 0 26 Aug 2021
Distilling Virtual Examples for Long-tailed Recognition Yingying He Jianxin Wu Xiu-Shen Wei 71 102 0 28 Mar 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels Yazhou Yao Zeren Sun Chuanyi Zhang Fumin Shen Qi Wu Jian Zhang Zhenmin Tang NoLa 80 134 0 24 Mar 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 80 263 0 18 Feb 2021
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 43 162 0 09 Nov 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang Long Lian Zhongqi Miao Ziwei Liu Stella X. Yu 105 389 0 05 Oct 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 201 571 0 21 Jul 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 101 985 0 16 Jul 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 118 708 0 14 Jul 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 318 463 0 11 Mar 2020
Does label smoothing mitigate label noise? Michal Lukasik Srinadh Bhojanapalli A. Menon Surinder Kumar NoLa 181 349 0 05 Mar 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 105 1,029 0 18 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 155 3,549 0 21 Jan 2020
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 175 1,217 0 21 Oct 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation Agrim Gupta Piotr Dollár Ross B. Girshick ISeg VLM 100 1,369 0 08 Aug 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 113 1,602 0 18 Jun 2019
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 276 9,760 0 25 Oct 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 163 1,137 0 23 Jan 2017
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 367 25,642 0 09 Jun 2011