Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

10 May 2021

Papers citing "Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels"

49 / 49 papers shown

Title
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data Weiran Pan Wei Wei Feida Zhu Yong Deng NoLa 121 0 0 24 Apr 2025
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation Yi-cui Zhang Yiwen Zhang Y. X. R. Wang Tong Chen Hongzhi Yin 28 0 0 10 Apr 2025
Text-to-3D Generation using Jensen-Shannon Score Distillation Khoi Do Binh-Son Hua DiffM 47 0 0 08 Mar 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data Chao Liang Linchao Zhu Zongxin Yang Wei Chen Yi Yang NoLa 55 0 0 05 Jan 2025
Optimized Gradient Clipping for Noisy Label Learning Xichen Ye Yifan Wu Weizhong Zhang Xiaoqiang Li Yifan Chen Cheng Jin NoLa 79 0 0 12 Dec 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 28 0 0 01 Sep 2024
Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates Shirley Kokane M. R. Uddin Min Xu 19 1 0 05 Jul 2024
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions Trenton Chang Jenna Wiens 32 0 0 27 Jun 2024
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction Yangdi Lu Wenbo He 3DV 30 0 0 23 Jun 2024
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 40 1 0 11 Jun 2024
Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels Guozhang Liu Ting Liu Mengke Yuan Tao Pang Guangxing Yang Hao Fu Tao Wang Tongkui Liao NoLa 27 1 0 15 May 2024
Robust Semi-supervised Learning via $f$ -Divergence and $α$ -Rényi Divergence Gholamali Aminian Amirhossien Bagheri Mahyar JafariNodeh Radmehr Karimian Mohammad Hossein Yassaee 21 0 0 01 May 2024
Generalization Measures for Zero-Shot Cross-Lingual Transfer Saksham Bassi Duygu Ataman Kyunghyun Cho 24 0 0 24 Apr 2024
Coordinated Sparse Recovery of Label Noise Yukun Yang Naihao Wang Haixin Yang Ruirui Li NoLa 29 0 0 07 Apr 2024
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation Linglin Jing Yiming Ding Yunpeng Gao Zhigang Wang Xu Yan Dong Wang Gerald Schaefer Hui Fang Bin Zhao Xuelong Li 32 3 0 25 Mar 2024
Indirectly Parameterized Concrete Autoencoders Alfred Nilsson Klas Wijk Sai Bharath Chandra Gutha Erik Englesson A. Hotti Carlo Saccardi Oskar Kviman Jens Lagergren Ricardo Vinuesa Hossein Azizpour 33 1 0 01 Mar 2024
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance Dongyu Zhang Ruofan Hu Elke A. Rundensteiner 28 0 0 10 Jan 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels Jichang Li Guanbin Li Hui Cheng Zicheng Liao Yizhou Yu FedML 27 14 0 19 Dec 2023
Interpreting Pretrained Language Models via Concept Bottlenecks Zhen Tan Lu Cheng Song Wang Yuan Bo Jundong Li Huan Liu LRM 24 20 0 08 Nov 2023
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance Song Wang Zhen Tan Ruocheng Guo Jundong Li NoLa 6 20 0 02 Nov 2023
Label Noise: Correcting a Correction William Toner Amos Storkey NoLa 15 0 0 24 Jul 2023
Boundary-weighted logit consistency improves calibration of segmentation networks Neerav Karani Neel Dey Polina Golland 17 3 0 16 Jul 2023
Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise Donna Tjandra Jenna Wiens NoLa 22 3 0 10 Jul 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 37 6 0 25 May 2023
Logistic-Normal Likelihoods for Heteroscedastic Label Noise Erik Englesson Amir Mehrpanah Hossein Azizpour NoLa 16 1 0 06 Apr 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 27 6 0 21 Mar 2023
Smooth and Stepwise Self-Distillation for Object Detection Jieren Deng Xiaoxia Zhou Hao Tian Zhihong Pan Derek Aguiar ObjD 17 0 0 09 Mar 2023
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning Liwei Yang Xiang Gu Jian Sun 26 12 0 03 Mar 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels L. Yi Gezheng Xu Pengcheng Xu Jiaqi Li Ruizhi Pu Charles X. Ling A. McLeod Boyu Wang 21 39 0 31 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 17 5 0 18 Jan 2023
Class Prototype-based Cleaner for Label Noise Learning Jingjia Huang Yuanqi Chen Jiashi Feng Xinglong Wu NoLa SSL 16 0 0 21 Dec 2022
SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-Labels M. Kišš Michal Hradiš Karel Beneš Petr Buchal Michal Kula 55 4 0 05 Dec 2022
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning C. Xu Chen Liu Siqian Yang Yabiao Wang Shijie Zhang Lijie Jia Yanwei Fu 8 5 0 30 Nov 2022
Dynamic Loss For Robust Learning Shenwang Jiang Jianan Li Jizhou Zhang Ying Wang Tingfa Xu NoLa OOD 23 6 0 22 Nov 2022
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions Gholamali Aminian Saeed Masiha Laura Toni M. Rodrigues 14 7 0 02 Oct 2022
CTRL: Clustering Training Losses for Label Error Detection C. Yue N. Jha NoLa 36 13 0 17 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 13 2 0 17 Aug 2022
Study of Encoder-Decoder Architectures for Code-Mix Search Query Translation Mandar M. Kulkarni Soumya Chennabasavaraj Nikesh Garera 11 3 0 07 Aug 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees Haotian Ju Dongyue Li Hongyang R. Zhang 35 28 0 06 Jun 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 21 8 0 03 Mar 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 20 75 0 04 Feb 2022
Certifying Out-of-Domain Generalization for Blackbox Functions Maurice Weber Linyi Li Boxin Wang Zhikuan Zhao Bo-wen Li Ce Zhang OOD 21 14 0 03 Feb 2022
NoisyMix: Boosting Model Robustness to Common Corruptions N. Benjamin Erichson S. H. Lim Winnie Xu Francisco Utrera Ziang Cao Michael W. Mahoney 19 17 0 02 Feb 2022
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity Dixian Zhu Yiming Ying Tianbao Yang 27 9 0 30 Dec 2021
Graph Kernel Neural Networks Luca Cosmo G. Minello Alessandro Bicciato M. Bronstein Emanuele Rodolà Luca Rossi A. Torsello GNN 25 20 0 14 Dec 2021
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning Xin Zhang Zixuan Liu Kaiwen Xiao Tian Shen Junzhou Huang Wei Yang Dimitris Samaras Xiao Han NoLa 39 4 0 23 Nov 2021
Consistency Regularization Can Improve Robustness to Label Noise Erik Englesson Hossein Azizpour NoLa 86 20 0 04 Oct 2021
Does Adversarial Oversampling Help us? T. Dam Md Meftahul Ferdaus S. Anavatti Senthilnath Jayavelu H. Abbass 14 8 0 20 Aug 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 32 69 0 08 Jun 2021