4 papers
On the Fragility of Active Learners for Text Classification
Abhishek Ghose, Emma Thuong Nguyen
Active learning (AL) techniques optimally utilize a labeling budget by iteratively selecting instances that are most valuable for learning. However, they lack ``prerequisite checks…
Learning Interpretable Models Using Uncertainty Oracles
Abhishek Ghose, Balaraman Ravindran
A desirable property of interpretable models is small size, so that they are easily understandable by humans. This leads to the following challenges: (a) small sizes typically impl…
Data Selection: A General Principle for Building Small Interpretable Models
Abhishek Ghose
We present convincing empirical evidence for an effective and general strategy for building accurate small models. Such models are attractive for interpretability and also find use…
Are Good Explainers Secretly Human-in-the-Loop Active Learners?
Emma Thuong Nguyen, Abhishek Ghose
Explainable AI (XAI) techniques have become popular for multiple use-cases in the past few years. Here we consider its use in studying model predictions to gather additional traini…