3 citations · 4 across the 3 of their papers we have counts for
3 papers
Estimating Optimal Active Learning via Model Retraining Improvement
Lewis P. G. Evans, Niall M. Adams, Christoforos Anagnostopoulos
A central question for active learning (AL) is: "what is the optimal selection?" Defining optimality by classifier loss produces a new characterisation of optimal AL behaviour, by…
When does Active Learning Work?
Lewis Evans, Niall M. Adams, Christoforos Anagnostopoulos
Active Learning (AL) methods seek to improve classifier performance when labels are expensive or scarce. We consider two central questions: Where does AL work? How much does it hel…
Targeting Optimal Active Learning via Example Quality
Lewis P. G. Evans, Niall M. Adams, Christoforos Anagnostopoulos
In many classification problems unlabelled data is abundant and a subset can be chosen for labelling. This defines the context of active learning (AL), where methods systematically…