Learning to Learn from Noisy Labeled Data

13 December 2018

Papers citing "Learning to Learn from Noisy Labeled Data"

50 / 81 papers shown

Title
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data Haoxin Li Boyang Li CoGe 73 0 0 03 Mar 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Zhiqiang Zhang NoLa CML 262 0 0 18 Dec 2024
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks Anita Eisenburger Daniel Otten Anselm Hudde F. Hopfgartner NoLa 50 1 0 13 Sep 2024
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task Jie Liu Yao Wu Xiaotong Luo Zongze Wu 34 0 0 09 Jun 2024
Boosting Semi-Supervised Temporal Action Localization by Learning from Non-Target Classes Kun Xia Le Wang Sanpin Zhou Gang Hua Wei Tang 40 1 0 17 Mar 2024
FedDefender: Client-Side Attack-Tolerant Federated Learning Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 31 20 0 18 Jul 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 40 12 0 22 May 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 43 0 0 13 Apr 2023
Noisy Correspondence Learning with Meta Similarity Correction Haocheng Han Kaiyao Miao Qinghua Zheng Minnan Luo 32 28 0 13 Apr 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 37 3 0 16 Mar 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya Zhang Ivor W. Tsang NoLa BDL 33 8 0 19 Feb 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
SemPPL: Predicting pseudo-labels for better contrastive representations Matko Bovsnjak Pierre Harvey Richemond Nenad Tomašev Florian Strub Jacob Walker Felix Hill Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL VLM 49 9 0 12 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 34 11 0 09 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 55 8 0 02 Jan 2023
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 34 4 0 08 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data Splitting Jihye Kim A. Baratin Yan Zhang Simon Lacoste-Julien NoLa 20 7 0 03 Dec 2022
Model and Data Agreement for Learning with Noisy Labels Yuhang Zhang Weihong Deng Xingchen Cui Yunfeng Yin Hongzhi Shi Dongchao Wen NoLa 34 5 0 02 Dec 2022
On Robust Learning from Noisy Labels: A Permutation Layer Approach Salman Alsubaihi Mohammed Alkhrashi Raied Aljadaany Fahad Albalawi Guohao Li NoLa 23 0 0 29 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 44 20 0 20 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels Daehwan Kim Kwang-seok Ryoo Hansang Cho Seung Wook Kim NoLa 26 3 0 20 Nov 2022
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection Cholmin Kang C. Lee Heon Song M. Ma Sérgio Pereira 31 5 0 11 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 36 2 0 02 Oct 2022
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks Jiaying Wu Bryan Hooi 26 5 0 19 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 25 0 0 14 Sep 2022
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling Boshen Zhang Yuxi Li Yuanpeng Tu Jinlong Peng Yabiao Wang Cunlin Wu Yanghua Xiao Cairong Zhao NoLa 38 6 0 23 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 28 2 0 17 Aug 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning Yue Duan Lei Qi Lei Wang Luping Zhou Yinghuan Shi OOD 29 11 0 09 Aug 2022
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification Tom Burgert Mahdyar Ravanbakhsh Begüm Demir NoLa 18 17 0 28 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei Wang NoLa 30 44 0 12 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David A. Clifton N. Robertson 30 6 0 30 Jun 2022
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark Chang Xu Jinwang Wang Wen Yang Huai Yu Lei Yu Guisong Xia 43 157 0 28 Jun 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting Zhengqi He Zeke Xie Quanzhi Zhu Zengchang Qin 81 27 0 17 Jun 2022
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Yongyi Su Xun Xu Kui Jia TTA OOD 32 46 0 06 Jun 2022
Understanding the Domain Gap in LiDAR Object Detection Networks Jasmine Richter F. Faion Di Feng Paul Benedikt Becker Piotr Sielecki Claudius Glaeser 3DPC 30 4 0 21 Apr 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 30 47 0 12 Apr 2022
Robust Cross-Modal Representation Learning with Progressive Self-Distillation A. Andonian Shixing Chen Raffay Hamid VLM 29 54 0 10 Apr 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Nazmul Karim Mamshad Nayeem Rizve Nazanin Rahnavard Ajmal Mian M. Shah NoLa 37 98 0 28 Mar 2022
Robust Training under Label Noise by Over-parameterization Sheng Liu Zhihui Zhu Qing Qu Chong You NoLa OOD 32 106 0 28 Feb 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise Yuyin Zhou Xianhang Li Fengze Liu Qingyue Wei Xuxi Chen Lequan Yu Cihang Xie M. Lungren Lei Xing NoLa 47 3 0 09 Feb 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 41 75 0 04 Feb 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 27 33 0 20 Jan 2022
Learning with Label Noise for Image Retrieval by Selecting Interactions Sarah Ibrahimi Arnaud Sors Rafael Sampaio de Rezende S. Clinchant NoLa VLM 27 16 0 20 Dec 2021
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification Chuang Zhu Wenkai Chen T. Peng Ying Wang M. Jin NoLa 34 72 0 05 Dec 2021
Generalized Data Weighting via Class-level Gradient Manipulation Can Chen Shuhao Zheng Xi Chen Erqun Dong Xue Liu Hao Liu Dejing Dou 35 24 0 29 Oct 2021
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 16 16 0 26 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 30 18 0 22 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay C. Kim Jinseo Jeong Sang-chul Moon Gunhee Kim CLL 42 39 0 14 Oct 2021
Breaking the Dilemma of Medical Image-to-image Translation Lingke Kong Chenyu Lian Detian Huang Zhenjiang Li Yanle Hu Qichao Zhou GAN MedIm 61 138 0 13 Oct 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding Shivendra Bhardwaj Abbas Ghaddar Ahmad Rashid Khalil Bibi Cheng-huan Li A. Ghodsi Philippe Langlais Mehdi Rezagholizadeh 19 1 0 21 Sep 2021