2 papers
cs.CL2020
Quantification of BERT Diagnosis Generalizability Across Medical Specialties Using Semantic Dataset Distance
Mihir P. Khambete, William Su, Juan Garcia +1
Deep learning models in healthcare may fail to generalize on data from unseen corpora. Additionally, no quantitative metric exists to tell how existing models will perform on new d…
cs.LG2019
Exchangeable Generative Models with Flow Scans
Christopher Bender, Kevin O'Connor, Yang Li +3
In this work, we develop a new approach to generative density estimation for exchangeable, non-i.i.d. data. The proposed framework, FlowScan, combines invertible flow transformatio…