Normalized Loss Functions for Deep Learning with Noisy Labels

24 June 2020

Papers citing "Normalized Loss Functions for Deep Learning with Noisy Labels"

50 / 220 papers shown

Title
Logistic-Normal Likelihoods for Heteroscedastic Label Noise Erik Englesson Amir Mehrpanah Hossein Azizpour NoLa 108 2 0 06 Apr 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 187 301 0 27 Mar 2023
Collaborative Noisy Label Cleaner: Learning Scene-aware Trailers for Multi-modal Highlight Detection in Movies Bei Gan Xiujun Shu Ruizhi Qiao Haoqian Wu Keyun Chen Hanjun Li Bohan Ren 85 5 0 26 Mar 2023
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency Shuo Yang Zhaopan Xu Kai Wang Yang You Huanjin Yao Tongliang Liu Min Xu 146 41 0 22 Mar 2023
Dynamics-Aware Loss for Learning with Label Noise Xiu-Chuan Li Xiaobo Xia Fei Zhu Tongliang Liu Xu-Yao Zhang Cheng-Lin Liu NoLa AI4CE 123 11 0 21 Mar 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro 99 2 0 20 Mar 2023
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation Mattia Litrico Alessio Del Bue Pietro Morerio UQCV 175 74 0 07 Mar 2023
Fine-Grained Classification with Noisy Labels Qinglai Wei Lei Feng Haoliang Sun Ren Wang Chenhui Guo Yilong Yin NoLa 199 28 0 04 Mar 2023
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels Xiang Li Xinrui Wang Songcan Chen 82 0 0 28 Feb 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya Zhang Ivor W. Tsang NoLa BDL 101 11 0 19 Feb 2023
Smoothly Giving up: Robustness for Simple Models Tyler Sypherd Nathan Stromberg Richard Nock Visar Berisha Lalitha Sankar 82 1 0 17 Feb 2023
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation A. Celaya B. Rivière David T. Fuentes MedIm 119 12 0 08 Feb 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels L. Yi Gezheng Xu Pengcheng Xu Jiaqi Li Ruizhi Pu Charles Ling A. McLeod Boyu Wang 148 46 0 31 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 150 6 0 18 Jan 2023
Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning Woohyun Kang Jonghwan Mun Sungjun Lee Byungseok Roh VLM 125 25 0 27 Dec 2022
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos Zixiao Wang Junwu Weng C. Yuan Jue Wang NoLa 133 5 0 27 Dec 2022
Instance-specific Label Distribution Regularization for Learning with Label Noise Zehui Liao Shishuai Hu Yutong Xie Yong-quan Xia NoLa 86 7 0 16 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 92 3 0 14 Dec 2022
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 123 4 0 08 Dec 2022
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction Jianguo Huang Huiping Zhuang Renchunzi Xie Lei Feng Gang Niu Bo An Yixuan Li VLM NoLa 186 39 0 08 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data Splitting Jihye Kim A. Baratin Yan Zhang Simon Lacoste-Julien NoLa 99 8 0 03 Dec 2022
Learning with Silver Standard Data for Zero-shot Relation Extraction Tianyi Wang Jianwei Wang Huiping Zhuang 87 2 0 25 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 148 26 0 20 Nov 2022
Robust Training of Graph Neural Networks via Noise Governance Siyi Qian Haochao Ying Renjun Hu Jingbo Zhou Jintai Chen Benlin Liu Jian Wu NoLa 126 45 0 12 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 147 13 0 09 Nov 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 119 5 0 11 Oct 2022
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss B. Felfeliyan A. Hareendranathan G. Kuntze S. Wichuk Nils D. Forkert Jacob L. Jaremko J. Ronsky NoLa 111 2 0 16 Sep 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 117 32 0 02 Sep 2022
CTRL: Clustering Training Losses for Label Error Detection C. Yue N. Jha NoLa 141 17 0 17 Aug 2022
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation Tong Xu Lin Wang Wu Ning Chunyan Lyu Kejun Wang Chenhui Wang 107 0 0 05 Aug 2022
Identifying Hard Noise in Long-Tailed Sample Distribution Xuanyu Yi Kaihua Tang Xiansheng Hua J. Lim Hanwang Zhang 103 24 0 27 Jul 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen Jiaqi Zhao 235 62 0 21 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David Clifton N. Robertson 145 6 0 30 Jun 2022
Prototype-Anchored Learning for Learning with Imperfect Annotations Xiong Zhou Xianming Liu Deming Zhai Junjun Jiang Xin Gao Xiangyang Ji 70 5 0 23 Jun 2022
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise Jongwoo Ko Bongsoo Yi Se-Young Yun NoLa 107 5 0 15 Jun 2022
To Aggregate or Not? Learning with Separate Noisy Labels Jiaheng Wei Zhaowei Zhu Tianyi Luo Ehsan Amid Abhishek Kumar Yang Liu NoLa 102 43 0 14 Jun 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees Haotian Ju Dongyue Li Hongyang R. Zhang 222 33 0 06 Jun 2022
AugLoss: A Robust Augmentation-based Fine Tuning Methodology Kyle Otstot J. Cava Tyler Sypherd Lalitha Sankar 84 0 0 05 Jun 2022
Detecting Label Errors by using Pre-Trained Language Models Derek Chong Jenny Hong Christopher D. Manning NoLa 142 22 0 25 May 2022
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning Jiahui Gao Renjie Pi Yong Lin Hang Xu Jiacheng Ye Zhiyong Wu Weizhong Zhang Xiaodan Liang Zhenguo Li Lingpeng Kong SyDa VLM 199 52 0 25 May 2022
Noise-Tolerant Learning for Audio-Visual Action Recognition Haocheng Han Qinghua Zheng Minnan Luo Kaiyao Miao Feng Tian Yuanchun Chen NoLa 182 11 0 16 May 2022
Federated Learning with Noisy User Feedback Rahul Sharma Anil Ramakrishna Ansel MacLaughlin Anna Rumshisky Jimit Majmudar Clement Chung Salman Avestimehr Rahul Gupta FedML 121 11 0 06 May 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels Yangdi Lu Wenbo He NoLa 133 43 0 02 May 2022
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model Heesun Bae Seung-Jae Shin Byeonghu Na Joonho Jang Kyungwoo Song Il-Chul Moon NoLa 193 27 0 02 May 2022
Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu Wuyang Li Qiushi Yang Baopu Li Yixuan Yuan 121 34 0 06 Apr 2022
DBCal: Density Based Calibration of classifier predictions for uncertainty quantification A. Hagen K. Pazdernik Nicole LaHaye Marjolein Oostrom UQCV 76 2 0 01 Apr 2022
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo Chaoning Zhang Kang Zhang T. Pham Axi Niu Zhinan Qiao Chang D. Yoo In So Kweon 151 60 0 30 Mar 2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels Yikai Wang Xinwei Sun Yanwei Fu NoLa 152 27 0 15 Mar 2022
On Learning Contrastive Representations for Learning with Noisy Labels Linya Yi Sheng Liu Qi She A. McLeod Boyu Wang NoLa 149 50 0 03 Mar 2022
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification Yuanhong Chen Fengbei Liu Hu Wang Chong Wang Yu Tian Yuyuan Liu G. Carneiro NoLa 151 12 0 03 Mar 2022