Coupled Confusion Correction: Learning from Crowds with Sparse
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Coupled Confusion Correction: Learning from Crowds with Sparse Annotations

AAAI Conference on Artificial Intelligence (AAAI), 2023

12 December 2023

Shiming Ge

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Papers citing "Coupled Confusion Correction: Learning from Crowds with Sparse Annotations"

8 / 8 papers shown

Title
Understanding the Essence: Delving into Annotator Prototype Learning for Multi-Class Annotation Aggregation Ju Chen Jun Feng Shenyu Zhang 56 0 0 04 Aug 2025
crowd-hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels M. Herde Lukas Lührs Denis Huseljic Bernhard Sick 304 0 0 12 Apr 2025
Learning from Noisy Labels via Conditional Distributionally Robust OptimizationNeural Information Processing Systems (NeurIPS), 2024 Hui Guo Grace Y. Yi Boyu Wang NoLa 255 1 0 26 Nov 2024
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex ArgumentsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Omar Sharif Joseph Gatto Madhusudan Basak S. Preum 191 8 0 04 Oct 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation Hansong Zhang Shikun Li Fanzhao Lin Weiping Wang Zhenxing Qian Shiming Ge DD 228 15 0 03 Jun 2024
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup ExtensionEuropean Conference on Artificial Intelligence (ECAI), 2024 M. Herde Lukas Lührs Denis Huseljic Bernhard Sick 288 3 0 06 May 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy Hansong Zhang Shikun Li Pengju Wang Dan Zeng Shiming Ge DD 320 47 0 26 Dec 2023
Learning to Complement with Multiple HumansPattern Recognition (Pattern Recogn.), 2023 Zheng Zhang Cuong C. Nguyen Kevin Wells Thanh-Toan Do Gustavo Carneiro 245 1 0 22 Nov 2023