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Robust Long-Tailed Learning under Label Noise

Robust Long-Tailed Learning under Label Noise

26 August 2021
Tong Wei
Jiang-Xin Shi
Wei-Wei Tu
Yu-Feng Li
    NoLa
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Papers citing "Robust Long-Tailed Learning under Label Noise"

33 / 33 papers shown
Title
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
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
49
0
0
03 Apr 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
65
0
0
14 Mar 2025
Robust Dynamic Facial Expression Recognition
Robust Dynamic Facial Expression Recognition
Feng Liu
Hanyang Wang
Siyuan Shen
48
0
0
22 Feb 2025
Continuous Contrastive Learning for Long-Tailed Semi-Supervised
  Recognition
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou
Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
28
1
0
08 Oct 2024
Vision-Language Models are Strong Noisy Label Detectors
Vision-Language Models are Strong Noisy Label Detectors
Tong Wei
Hao Li
Chun-Shu Li
Jiang-Xin Shi
Yu-Feng Li
Min-Ling Zhang
VLM
34
3
0
29 Sep 2024
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
Zhi-Hong Qi
Da-Wei Zhou
Yiran Yao
Han-Jia Ye
De-Chuan Zhan
CLL
48
5
0
11 Sep 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised
  Learning
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning
Kai Gan
Tong Wei
Min-Ling Zhang
40
1
0
19 Jun 2024
A Survey of Deep Long-Tail Classification Advancements
A Survey of Deep Long-Tail Classification Advancements
Charika De Alvis
Suranga Seneviratne
31
1
0
24 Apr 2024
Extracting Clean and Balanced Subset for Noisy Long-tailed
  Classification
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
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution
  with Label Refurbishment Considering Label Rarity
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
EAT: Towards Long-Tailed Out-of-Distribution Detection
EAT: Towards Long-Tailed Out-of-Distribution Detection
Tong Wei
Bo-Lin Wang
Min-Ling Zhang
OODD
25
14
0
14 Dec 2023
Toward Robustness in Multi-label Classification: A Data Augmentation
  Strategy against Imbalance and Noise
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise
Hwanjun Song
Minseok Kim
Jae-Gil Lee
46
7
0
12 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting
REDUCR: Robust Data Downsampling Using Class Priority Reweighting
William Bankes
George Hughes
Ilija Bogunovic
Zi Wang
34
3
0
01 Dec 2023
How Re-sampling Helps for Long-Tail Learning?
How Re-sampling Helps for Long-Tail Learning?
Jiang-Xin Shi
Tong Wei
Yuke Xiang
Yu-Feng Li
27
20
0
27 Oct 2023
Regularly Truncated M-estimators for Learning with Noisy Labels
Regularly Truncated M-estimators for Learning with Noisy Labels
Xiaobo Xia
Pengqian Lu
Chen Gong
Bo Han
Jun-chen Yu
Jun Yu
Tongliang Liu
NoLa
26
9
0
02 Sep 2023
Fairness Improves Learning from Noisily Labeled Long-Tailed Data
Fairness Improves Learning from Noisily Labeled Long-Tailed Data
Jiaheng Wei
Zhaowei Zhu
Gang Niu
Tongliang Liu
Sijia Liu
Masashi Sugiyama
Yang Liu
39
6
0
22 Mar 2023
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels
Guanlin Li
Guowen Xu
Tianwei Zhang
NoLa
ISeg
21
0
0
24 Nov 2022
Dynamic Loss For Robust Learning
Dynamic Loss For Robust Learning
Shenwang Jiang
Jianan Li
Jizhou Zhang
Ying Wang
Tingfa Xu
NoLa
OOD
28
6
0
22 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration
  Method
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
Manyi Zhang
Xuyang Zhao
Jun Yao
Chun Yuan
Weiran Huang
38
20
0
20 Nov 2022
Learning with Noisy Labels over Imbalanced Subpopulations
Learning with Noisy Labels over Imbalanced Subpopulations
Mingcai Chen
Yu Zhao
Bing He
Zongbo Han
Bingzhe Wu
Jianhua Yao
29
8
0
16 Nov 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
Haobo Wang
Mingxuan Xia
Yixuan Li
Yuren Mao
Lei Feng
Gang Chen
J. Zhao
51
38
0
21 Sep 2022
Label-Noise Learning with Intrinsically Long-Tailed Data
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
Maximising the Utility of Validation Sets for Imbalanced Noisy-label
  Meta-learning
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
D. Hoang
Cuong C. Nguyen
Cuong Nguyen anh Belagiannis Vasileios
G. Carneiro
25
2
0
17 Aug 2022
Identifying Hard Noise in Long-Tailed Sample Distribution
Identifying Hard Noise in Long-Tailed Sample Distribution
Xuanyu Yi
Kaihua Tang
Xiansheng Hua
J. Lim
Hanwang Zhang
22
23
0
27 Jul 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
Rui Xiao
Yiwen Dong
Haobo Wang
Lei Feng
Runze Wu
Gang Chen
J. Zhao
24
54
0
21 Jul 2022
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data
Tong Wei
Qianqian Liu
Jiang-Xin Shi
Wei-Wei Tu
Lan-Zhe Guo
31
14
0
26 May 2022
Selective-Supervised Contrastive Learning with Noisy Labels
Selective-Supervised Contrastive Learning with Noisy Labels
Shikun Li
Xiaobo Xia
Shiming Ge
Tongliang Liu
NoLa
24
172
0
08 Mar 2022
Prototypical Classifier for Robust Class-Imbalanced Learning
Prototypical Classifier for Robust Class-Imbalanced Learning
Tong Wei
Jiang-Xin Shi
Yu-Feng Li
Min-Ling Zhang
NoLa
9
16
0
22 Oct 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A Survey
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
18
558
0
09 Oct 2021
Sample Selection with Uncertainty of Losses for Learning with Noisy
  Labels
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
Xiaobo Xia
Tongliang Liu
Bo Han
Biwei Huang
Jun Yu
Gang Niu
Masashi Sugiyama
NoLa
17
110
0
01 Jun 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
170
550
0
21 Jul 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
260
457
0
11 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
253
782
0
05 Dec 2019
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