2 citations · 2 across the 8 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
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
Tianjun Ke, Haoqun Cao, Zenan Ling +1
Meta-learning has demonstrated promising results in few-shot classification (FSC) by learning to solve new problems using prior knowledge. Bayesian methods are effective at charact…
cs.CV2023
Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignment
Zhanbo Feng, Zenan Ling, Xinyu Lu +6
The use of denoising diffusion models is becoming increasingly popular in the field of image editing. However, current approaches often rely on either image-guided methods, which p…