14 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Model Debiasing via Gradient-based Explanation on Representation
Jindi Zhang, Luning Wang, Dan Su +3
Machine learning systems produce biased results towards certain demographic groups, known as the fairness problem. Recent approaches to tackle this problem learn a latent code (i.e…
cs.AI2021★ 5 cited
Resisting Out-of-Distribution Data Problem in Perturbation of XAI
Luyu Qiu, Yi Yang, Caleb Chen Cao +5
With the rapid development of eXplainable Artificial Intelligence (XAI), perturbation-based XAI algorithms have become quite popular due to their effectiveness and ease of implemen…
cs.AI2020★ 14 cited
Quantitative Evaluations on Saliency Methods: An Experimental Study
Xiao-Hui Li, Yuhan Shi, Haoyang Li +4
It has been long debated that eXplainable AI (XAI) is an important topic, but it lacks rigorous definition and fair metrics. In this paper, we briefly summarize the status quo of t…