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20222026
most citedBias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency

2 citations · 4 across the 10 of their papers we have counts for

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cs.LG2023

Mitigating Label Bias in Machine Learning: Fairness through Confident Learning

Yixuan Zhang, Boyu Li, Zenan Ling +1

Discrimination can occur when the underlying unbiased labels are overwritten by an agent with potential bias, resulting in biased datasets that unfairly harm specific groups and ca…

cs.LG2023★ 2 cited

Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes

Yixuan Zhang, Quyu Kong, Feng Zhou

In this study, we propose a novel deep spatio-temporal point process model, Deep Kernel Mixture Point Processes (DKMPP), that incorporates multimodal covariate information. DKMPP i…