9 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Group Probability-Weighted Tree Sums for Interpretable Modeling of Heterogeneous Data
Keyan Nasseri, Chandan Singh, James Duncan +2
Machine learning in high-stakes domains, such as healthcare, faces two critical challenges: (1) generalizing to diverse data distributions given limited training data while (2) mai…
cs.CV2022
On Guiding Visual Attention with Language Specification
Suzanne Petryk, Lisa Dunlap, Keyan Nasseri +3
While real world challenges typically define visual categories with language words or phrases, most visual classification methods define categories with numerical indices. However,…
cs.LG2022★ 9 cited
Fast Interpretable Greedy-Tree Sums
Yan Shuo Tan, Chandan Singh, Keyan Nasseri +6
Modern machine learning has achieved impressive prediction performance, but often sacrifices interpretability, a critical consideration in high-stakes domains such as medicine. In…