AI Models That Explain Their Decisions Learn Better with Less Training Data

This is a Plain English Papers summary of a research paper called AI Models That Explain Their Decisions Learn Better with Less Training Data. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

• New Explainable Active Learning (XAL) framework for text classification
• Combines model uncertainty with explanation generation
• Uses both encoder for classification and decoder for explanations
• Tested across 6 datasets with superior results to 9 baseline methods
• Focuses on improving low-resource text classification tasks

Plain English Explanation

Think of active learning like a student who picks which topics to study next. Traditional methods rely on the student's confidence level alone, which can be misleading. [XAL introduces a better way to learn](https://aimodels.fyi/papers/arxiv/xal-explainable-active-learning-make...

Click here to read the full summary of this paper