2 papers
cs.LG2021
MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator
Rhys Green, Matthew Rowe, Alberto Polleri
Reliable Confidence Estimates are hugely important for any machine learning model to be truly useful. In this paper, we argue that any confidence estimates based upon standard mach…
cs.CL2017
Tracking the Diffusion of Named Entities
Leon Derczynski, Matthew Rowe
Existing studies of how information diffuses across social networks have thus far concentrated on analysing and recovering the spread of deterministic innovations such as URLs, has…