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1908.07387
Cited By
NLNL: Negative Learning for Noisy Labels
IEEE International Conference on Computer Vision (ICCV), 2019
19 August 2019
Youngdong Kim
Junho Yim
Juseung Yun
Junmo Kim
NoLa
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Papers citing
"NLNL: Negative Learning for Noisy Labels"
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FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning
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Zhiyuan Liu
Chao Liu
Pengzhang Liu
Qixia Jiang
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Multimodal Negative Learning
Baoquan Gong
X. Gao
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Bing Cao
150
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Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
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Yulin Chen
Yin Zhang
238
1
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11 Oct 2025
Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning
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Hsuan-Tien Lin
155
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22 Sep 2025
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction
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Hieu Tran Bao
Hoang Thanh-Tung
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288
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27 Aug 2025
Convergence and Generalization of Anti-Regularization for Parametric Models
Dongseok Kim
Wonjun Jeong
Gisung Oh
282
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24 Aug 2025
Towards a Larger Model via One-Shot Federated Learning on Heterogeneous Client Models
Wenxuan Ye
Xueli An
Onur Ayan
Junfan Wang
Xueqiang Yan
Georg Carle
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162
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0
19 Aug 2025
Learning to Forget with Information Divergence Reweighted Objectives for Noisy Labels
Jeremiah Birrell
Reza Ebrahimi
NoLa
270
0
0
08 Aug 2025
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Neural Information Processing Systems (NeurIPS), 2025
Jialiang Wang
Xiong Zhou
Deming Zhai
Junjun Jiang
Xiangyang Ji
Xianming Liu
NoLa
359
5
0
04 Aug 2025
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation
Yooshin Cho
Hanbyel Cho
Janghyeon Lee
H. Hong
Jaesung Ahn
Junmo Kim
200
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0
27 Jul 2025
ErrorEraser: Unlearning Data Bias for Improved Continual Learning
Knowledge Discovery and Data Mining (KDD), 2025
Xuemei Cao
Hanlin Gu
Xin Yang
Bingjun Wei
Haoyang Liang
Xiangkun Wang
Tianrui Li
CLL
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MU
224
3
0
11 Jun 2025
Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Hong-Hanh Nguyen-Le
Van-Tuan Tran
Dinh-Thuc Nguyen
Nhien-An Le-Khac
AAML
TTA
467
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0
24 May 2025
Dual-Path Stable Soft Prompt Generation for Domain Generalization
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Shuanghao Bai
Wanqi Zhou
Zhirong Luan
Badong Chen
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293
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0
24 May 2025
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
Han Li
Hu Han
S.Kevin Zhou
323
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0
24 May 2025
Robust Classification with Noisy Labels Based on Posterior Maximization
Nicola Novello
Andrea M. Tonello
NoLa
341
3
0
09 Apr 2025
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels
Pattern Recognition (Pattern Recogn.), 2024
F. Cordeiro
G. Carneiro
NoLa
325
12
0
03 Nov 2024
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Shumpei Takezaki
Kiyohito Tanaka
S. Uchida
NoLa
279
0
0
29 Oct 2024
Implicit to Explicit Entropy Regularization: Benchmarking ViT Fine-tuning under Noisy Labels
Maria Marrium
Arif Mahmood
Mohammed Bennamoun
NoLa
AAML
348
1
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05 Oct 2024
Vision-Language Models are Strong Noisy Label Detectors
Neural Information Processing Systems (NeurIPS), 2024
Tong Wei
Haoyang Li
Chun-Shu Li
Jiang-Xin Shi
Yu-Feng Li
Min-Ling Zhang
VLM
253
18
0
29 Sep 2024
Federated Learning with Label-Masking Distillation
ACM Multimedia (MM), 2023
Jianghu Lu
Shikun Li
Kexin Bao
Pengju Wang
Zhenxing Qian
Shiming Ge
FedML
267
27
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20 Sep 2024
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation
Andrea Maracani
Lorenzo Rosasco
Lorenzo Natale
353
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01 Sep 2024
Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels
Yangdi Lu
Wenbo He
NoLa
291
3
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22 Jun 2024
Fully Test-Time Adaptation for Monocular 3D Object Detection
Hongbin Lin
Yifan Zhang
Shuaicheng Niu
Shuguang Cui
Zhen Li
359
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30 May 2024
Relation Modeling and Distillation for Learning with Noisy Labels
Xiaming Chen
Junlin Zhang
Zhuang Qi
Xiangxu Meng
NoLa
425
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30 May 2024
Exploring the Robustness of In-Context Learning with Noisy Labels
Chen Cheng
Xinzhi Yu
Haodong Wen
Jinsong Sun
Guanzhang Yue
Yihao Zhang
Zeming Wei
NoLa
387
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28 Apr 2024
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation
Mattia Litrico
Davide Talon
Sebastiano Battiato
Alessio Del Bue
M. Giuffrida
Pietro Morerio
UQCV
255
1
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16 Apr 2024
Noisy Label Processing for Classification: A Survey
Mengting Li
Chuang Zhu
NoLa
399
10
0
05 Apr 2024
Macroscale fracture surface segmentation via semi-supervised learning considering the structural similarity
Johannes Rosenberger
Johannes Tlatlik
S. Münstermann
176
14
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27 Mar 2024
Efficient Test-Time Adaptation of Vision-Language Models
Adilbek Karmanov
Dayan Guan
Shijian Lu
Abdulmotaleb El Saddik
Eric Xing
TTA
VLM
326
131
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27 Mar 2024
Tackling Noisy Labels with Network Parameter Additive Decomposition
Jingyi Wang
Xiaobo Xia
Long Lan
Xinghao Wu
Jun-chen Yu
Wenjing Yang
Bo Han
Tongliang Liu
NoLa
281
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20 Mar 2024
Boosting Semi-Supervised Temporal Action Localization by Learning from Non-Target Classes
Kun Xia
Le Wang
Sanpin Zhou
Gang Hua
Wei Tang
305
3
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17 Mar 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
Jianwei Wang
Tianyin Wang
Huiping Zhuang
450
3
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28 Feb 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
Xiaoyu Liu
Beitong Zhou
Cheng Cheng
281
10
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27 Feb 2024
Bidirectional Uncertainty-Based Active Learning for Open Set Annotation
Chen-Chen Zong
Ye-Wen Wang
Hai-Jian Ke
Hai-Bo Ye
Sheng-Jun Huang
EDL
504
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23 Feb 2024
Robust Multi-Task Learning with Excess Risks
Yifei He
Shiji Zhou
Guojun Zhang
Hyokun Yun
Yi Tian Xu
Belinda Zeng
Trishul Chilimbi
Han Zhao
375
26
0
03 Feb 2024
Open-Set Facial Expression Recognition
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yuhang Zhang
Yue Yao
Xuannan Liu
Lixiong Qin
Wenjing Wang
Weihong Deng
CVBM
196
12
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23 Jan 2024
Revisiting Few-Shot Object Detection with Vision-Language Models
Anish Madan
Neehar Peri
Shu Kong
Deva Ramanan
VLM
437
34
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22 Dec 2023
Robust Loss Functions for Training Decision Trees with Noisy Labels
Jo Wilton
Nan Ye
NoLa
267
8
0
20 Dec 2023
Appeal: Allow Mislabeled Samples the Chance to be Rectified in Partial Label Learning
Chongjie Si
Xuehui Wang
Yan Wang
Yunbo Wang
Wei Shen
291
1
0
18 Dec 2023
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Mengmeng Sheng
Zeren Sun
Zhenhuang Cai
Tao Chen
Yichao Zhou
Yazhou Yao
258
39
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15 Dec 2023
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
International Conference on Machine Learning (ICML), 2023
Wei Wang
Takashi Ishida
Yu Zhang
Gang Niu
Masashi Sugiyama
553
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27 Nov 2023
One-bit Supervision for Image Classification: Problem, Solution, and Beyond
Hengtong Hu
Lingxi Xie
Xinyue Huo
Richang Hong
Qi Tian
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207
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In Search of Lost Online Test-time Adaptation: A Survey
International Journal of Computer Vision (IJCV), 2023
Zixin Wang
Yadan Luo
Liang Zheng
Zhuoxiao Chen
Sen Wang
Zi Huang
448
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Continual Test-time Domain Adaptation via Dynamic Sample Selection
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Jie Hong
A. Cheraghian
Shafin Rahman
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Lars Petersson
Mehrtash Harandi
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VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
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Salvatore Di Girolamo
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Torsten Hoefler
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383
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Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval
IEEE Transactions on Image Processing (IEEE TIP), 2023
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Shuhui Wang
Hao Luo
Jianfeng Dong
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Meng Han
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Meng Wang
239
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Suli C. Adeniye
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Regularly Truncated M-estimators for Learning with Noisy Labels
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Pengqian Lu
Chen Gong
Bo Han
Jun-chen Yu
Jun Yu
Tongliang Liu
NoLa
242
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SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets
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Dripta S. Raychaudhuri
Sk. Miraj Ahmed
Suya You
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Amit K. Roy-Chowdhury
261
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URL: Combating Label Noise for Lung Nodule Malignancy Grading
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