7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.AI2023★ 7 cited
Getting too personal(ized): The importance of feature choice in online adaptive algorithms
ZhaoBin Li, Luna Yee, Nathaniel Sauerberg +3
Digital educational technologies offer the potential to customize students' experiences and learn what works for which students, enhancing the technology as more students interact…
cs.AI2021★ 1 cited
Explainable AI for Natural Adversarial Images
Tomas Folke, ZhaoBin Li, Ravi B. Sojitra +2
Adversarial images highlight how vulnerable modern image classifiers are to perturbations outside of their training set. Human oversight might mitigate this weakness, but depends o…