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Jiefeng Chen

Jiefeng Chen

I am an Phd student at UW-Madison, co-advised by Yingyu Liang and Somesh Jha, working on trustworthy machine learning.
Madison
http://pages.cs.wisc.edu/~jiefeng/
Can an AI model anticipate how well it will perform in the wild?

Can an AI model anticipate how well it will perform in the wild?

> In many important applications, AI models are trained on labeled data but when deployed in the wild, labels are not readily available (for example in medical imaging where the model is identifying a cancerous patch, "ground-truth" labels may require expert examination). A critical question is -- in
25 Nov 2021 8 min read
Robust Attribution Regularization
adversarial Featured

Robust Attribution Regularization

Recent work on training neural networks to have robust attributions, to improve their trustworthiness and resilience to adversarial attacks.
31 Oct 2019 8 min read
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