2 citations · 7 across the 8 of their papers we have counts for
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cs.LG2023★ 2 cited
Topology-aware Robust Optimization for Out-of-distribution Generalization
Fengchun Qiao, Xi Peng
Out-of-distribution (OOD) generalization is a challenging machine learning problem yet highly desirable in many high-stake applications. Existing methods suffer from overly pessimi…
cs.LG2023★ 2 cited
Are Data-driven Explanations Robust against Out-of-distribution Data?
Tang Li, Fengchun Qiao, Mengmeng Ma +1
As black-box models increasingly power high-stakes applications, a variety of data-driven explanation methods have been introduced. Meanwhile, machine learning models are constantl…