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Learning from Crowds by Modeling Common Confusions

24 December 2020

Papers citing "Learning from Crowds by Modeling Common Confusions"

26 / 26 papers shown

Title
crowd-hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels M. Herde Lukas Lührs Denis Huseljic Bernhard Sick 84 0 0 12 Apr 2025
Learning from Noisy Labels via Conditional Distributionally Robust Optimization Hui Guo Grace Y. Yi Boyu Wang NoLa 137 1 0 26 Nov 2024
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans M. Herde Denis Huseljic Lukas Rauch Bernhard Sick 85 1 0 30 Jul 2024
Mixture of Experts based Multi-task Supervise Learning from Crowds Tao Han Huaixuan Shi Xinyi Ding Xiao Ma Huamao Gu Yili Fang 93 0 0 18 Jul 2024
Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it? Tanguy Lefort Antoine Affouard Benjamin Charlier J. Lombardo Mathias Chouet Hervé Goëau Joseph Salmon P. Bonnet Alexis Joly 101 0 0 05 Jun 2024
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension M. Herde Lukas Lührs Denis Huseljic Bernhard Sick 128 3 0 06 May 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations Hansong Zhang Shikun Li Dan Zeng Chenggang Yan Shiming Ge 67 14 0 12 Dec 2023
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives! Philipp Heinisch Matthias Orlikowski Julia Romberg Philipp Cimiano 49 3 0 06 Nov 2023
Label Selection Approach to Learning from Crowds Kosuke Yoshimura H. Kashima NoLa 18 0 0 21 Aug 2023
Evaluating AI systems under uncertain ground truth: a case study in dermatology David Stutz A. Cemgil Abhijit Guha Roy Tatiana Matejovicova Melih Barsbey ... Yossi Matias Pushmeet Kohli Yun-Hui Liu Arnaud Doucet Alan Karthikesalingam 77 3 0 05 Jul 2023
Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization Shahana Ibrahim Tri Nguyen Xiao Fu 80 19 0 05 Jun 2023
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds Shikun Li Xiaobo Xia Jiankang Deng Shiming Ge Tongliang Liu 110 15 0 05 Jun 2023
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach Tri Nguyen Shahana Ibrahim Xiao Fu 52 6 0 30 May 2023
Multi-annotator Deep Learning: A Probabilistic Framework for Classification M. Herde Denis Huseljic Bernhard Sick 80 9 0 05 Apr 2023
Multiview Representation Learning from Crowdsourced Triplet Comparisons Xiaotian Lu Jiyi Li Koh Takeuchi H. Kashima SSL 51 2 0 08 Feb 2023
AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection Wenjie Yin Vibhor Agarwal Aiqi Jiang A. Zubiaga Nishanth R. Sastry 91 15 0 20 Dec 2022
Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin Tanguy Lefort Benjamin Charlier Alexis Joly Joseph Salmon 73 5 0 30 Sep 2022
Meta Policy Learning for Cold-Start Conversational Recommendation Zhendong Chu Hongning Wang Yun Xiao Bo Long Lingfei Wu OffRL 96 35 0 24 May 2022
Trustable Co-label Learning from Multiple Noisy Annotators Shikun Li Tongliang Liu Jiyong Tan Dan Zeng Shiming Ge NoLa 63 28 0 08 Mar 2022
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis Gerhard Johann Hagerer Dávid Szabó Andreas Koch Maria Luisa Ripoll Dominguez Christian Widmer Maximilian Wich Hannah Danner Georg Groh 24 8 0 03 Nov 2021
Learning from Crowds with Crowd-Kit Dmitry Ustalov Nikita Pavlichenko B. Tseitlin 110 19 0 17 Sep 2021
Improve Learning from Crowds via Generative Augmentation Zhendong Chu Hongning Wang 90 12 0 22 Jul 2021
Learning from Crowds with Sparse and Imbalanced Annotations Ye Shi Shao-Yuan Li Sheng-Jun Huang 60 6 0 11 Jul 2021
Learning from Multiple Annotators by Incorporating Instance Features Jingzheng Li Hailong Sun Jiyi Li Zhijun Chen Renshuai Tao Yufei Ge NoLa 65 5 0 29 Jun 2021
Hypothesis Testing for Class-Conditional Label Noise Rafael Poyiadzi Weisong Yang Niall Twomey Raúl Santos-Rodríguez NoLa 52 0 0 03 Mar 2021
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing Hanlu Wu Tengfei Ma Lingfei Wu S. Ji FedML 59 11 0 25 Oct 2020