Multi-Objective Interpolation Training for Robustness to Label Noise

8 December 2020

Papers citing "Multi-Objective Interpolation Training for Robustness to Label Noise"

50 / 72 papers shown

Title
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 57 0 0 25 Feb 2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning Hanxuan Wang Na Lu Xueying Zhao Yuxuan Yan Kaipeng Ma Kwoh Chee Keong Gustavo Carneiro NoLa 59 0 0 22 Feb 2025
Open set label noise learning with robust sample selection and margin-guided module Yuandi Zhao Qianxi Xia Yang Sun Zhijie Wen Liyan Ma Shihui Ying NoLa 44 0 0 08 Jan 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise Jingyi Cui Yi-Ge Zhang Hengyu Liu Yisen Wang NoLa 43 0 0 03 Jan 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 46 2 0 31 Dec 2024
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels F. Cordeiro G. Carneiro NoLa 40 1 0 03 Nov 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP Chen Feng Georgios Tzimiropoulos Ioannis Patras VLM 32 1 0 19 Aug 2024
Learning to Complement and to Defer to Multiple Users Zheng Zhang Wenjie Ai Kevin Wells David Rosewarne Thanh-Toan Do Gustavo Carneiro 48 0 0 09 Jul 2024
An accurate detection is not all you need to combat label noise in web-noisy datasets Paul Albert Jack Valmadre Eric Arazo Tarun Krishna Noel E. O'Connor Kevin McGuinness AAML 43 0 0 08 Jul 2024
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading Nathan Stromberg Rohan Ayyagari Sanmi Koyejo Richard Nock Lalitha Sankar 46 0 0 13 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
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations Zhenxi Song Ruihan Qin Huixia Ren Zhen Liang Yi Guo Min Zhang Zhiguo Zhang 21 1 0 29 Apr 2024
Robust Noisy Label Learning via Two-Stream Sample Distillation Sihan Bai Sanpin Zhou Zheng Qin Le Wang Nanning Zheng NoLa 27 0 0 16 Apr 2024
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis Junlin Hou Jilan Xu Rui Feng Hao Chen 23 0 0 08 Apr 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 40 1 0 05 Apr 2024
Pairwise Similarity Distribution Clustering for Noisy Label Learning Sihan Bai NoLa 24 0 0 02 Apr 2024
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation Xi Chen Haosen Yang Huicong Zhang Hongxun Yao Xiatian Zhu 41 2 0 17 Mar 2024
REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for Noisy Correspondence Ruochen Zheng Jiahao Hong Changxin Gao Nong Sang 33 1 0 13 Mar 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning Xiaoyu Liu Beitong Zhou Cheng Cheng 34 3 0 27 Feb 2024
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning Darshana Saravanan Naresh Manwani Vineet Gandhi 28 0 0 07 Feb 2024
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels Chen-Chen Zong Ye-Wen Wang Ming-Kun Xie Sheng-Jun Huang 18 5 0 13 Jan 2024
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations Heewon Kim Hyun Sung Chang Kiho Cho Jaeyun Lee Bohyung Han NoLa 26 2 0 09 Jan 2024
Regroup Median Loss for Combating Label Noise Fengpeng Li Kemou Li Jinyu Tian Jiantao Zhou NoLa 41 2 0 11 Dec 2023
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels Wanxing Chang Ye-ling Shi Jingya Wang OT 38 12 0 11 Dec 2023
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning Zijun Long George Killick Lipeng Zhuang R. McCreadie Gerardo Aragon Camarasa Paul Henderson 30 5 0 25 Nov 2023
Learning to Complement with Multiple Humans Zheng Zhang Cuong C. Nguyen Kevin Wells Thanh-Toan Do Gustavo Carneiro 24 0 0 22 Nov 2023
Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning Qing Miao Xiaohe Wu Chao Xu Yanli Ji Wangmeng Zuo Yiwen Guo Zhaopeng Meng NoLa 29 2 0 24 Oct 2023
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes Yulei Qin Xingyu Chen Yunhang Shen Chaoyou Fu Yun Gu Ke Li Xing Sun Rongrong Ji 36 3 0 15 Oct 2023
Towards Robust Few-shot Point Cloud Semantic Segmentation Yating Xu Na Zhao Gim Hee Lee 3DPC 18 3 0 20 Sep 2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise Fahimeh Fooladgar Minh Nguyen Nhat To P. Mousavi Purang Abolmaesumi NoLa 30 4 0 13 Aug 2023
Partial Label Supervision for Agnostic Generative Noisy Label Learning Fengbei Liu Chong Wang Yuanhong Chen Yuyuan Liu G. Carneiro NoLa 30 1 0 02 Aug 2023
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels Mingcai Chen Yuntao Du Wei Tang Baoming Zhang Hao Cheng Shuwei Qian Chongjun Wang NoLa 19 1 0 31 Jul 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels Chuanyan Hu Shipeng Yan Zhitong Gao Xuming He NoLa 24 4 0 20 Jun 2023
Rethinking Weak Supervision in Helping Contrastive Learning Jingyi Cui Weiran Huang Yifei Wang Yisen Wang NoLa SSL 32 13 0 07 Jun 2023
Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning Wenhai Wan Xinrui Wang Ming-Kun Xie Shao-Yuan Li Sheng-Jun Huang Songcan Chen 33 8 0 07 May 2023
A Survey of Historical Learning: Learning Models with Learning History Xiang Li Ge Wu Lingfeng Yang Wenzhe Wang Renjie Song Jian Yang MU AI4TS 28 2 0 23 Mar 2023
Twin Contrastive Learning with Noisy Labels Zhizhong Huang Junping Zhang Hongming Shan NoLa 6 53 0 13 Mar 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Yabiao Wang Chengjie Wang C. Zhao NoLa 49 27 0 14 Feb 2023
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Jiangning Zhang Yabiao Wang Chengjie Wang C. Zhao AAML NoLa 38 15 0 14 Feb 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach Cuong C. Nguyen Thanh-Toan Do G. Carneiro NoLa 32 0 0 04 Jan 2023
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos Zixiao Wang Junwu Weng C. Yuan Jue Wang NoLa 24 4 0 27 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data Splitting Jihye Kim A. Baratin Yan Zhang Simon Lacoste-Julien NoLa 18 7 0 03 Dec 2022
Dynamic Loss For Robust Learning Shenwang Jiang Jianan Li Jizhou Zhang Ying Wang Tingfa Xu NoLa OOD 28 6 0 22 Nov 2022
Learning with Noisy Labels over Imbalanced Subpopulations Mingcai Chen Yu Zhao Bing He Zongbo Han Bingzhe Wu Jianhua Yao 24 8 0 16 Nov 2022
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels Brandon Smart G. Carneiro NoLa 26 11 0 17 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao W. Wang C. Yuan 21 3 0 11 Oct 2022
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition Kiyoon Kim Davide Moltisanti Oisin Mac Aodha Laura Sevilla-Lara 16 0 0 10 Oct 2022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection Paul Albert Eric Arazo Tarun Kirshna Noel E. O'Connor Kevin McGuinness NoLa 24 14 0 10 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 33 2 0 02 Oct 2022
Combating Noisy Labels in Long-Tailed Image Classification Chaowei Fang Lechao Cheng Huiyan Qi Dingwen Zhang NoLa 17 2 0 01 Sep 2022