M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

3 code implementations • 26 Dec 2023 • Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge

Nowadays, optimization-oriented methods have been the primary method in the field of dataset condensation for achieving SOTA results.

Dataset Condensation

Coupled Confusion Correction: Learning from Crowds with Sparse Annotations

2 code implementations • 12 Dec 2023 • Hansong Zhang, Shikun Li, Dan Zeng, Chenggang Yan, Shiming Ge

Moreover, we cluster the ``annotator groups'' who share similar expertise so that their confusion matrices could be corrected together.

Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm

1 code implementation • 22 Sep 2023 • Shikun Li, Xiaobo Xia, Hansong Zhang, Shiming Ge, Tongliang Liu

However, estimating multi-label noise transition matrices remains a challenging task, as most existing estimators in noisy multi-class learning rely on anchor points and accurate fitting of noisy class posteriors, which is hard to satisfy in noisy multi-label learning.

Multi-Label Learning