Expert-Informed, User-Centric Explanations for Image Classification with Deep Learning
USC Information Sciences Institute via YouTube
Overview
Syllabus
Welcome to the Al Seminar Series
Overview
Background: Learning to Classify images with Convolution Neural Networks
Background XAI
XAI tools have proved useful for identifying when a decisi based on irrelevant information.
XAI vs Expert Explanations
What's the role of an explanation?
Pneumonia Detection
Deep Learners find one sufficient means of disting
Center of Mass for explanations
Variability on Explanations can be reduced by ensembles of classifiers and averaging heatmaps
Averaging Multiple Explanations
Data Sets
Experimental setup
Evaluation on Experienced Birdwatchers
Would you trust a robot to identify and remove cancerous moles?
Comments on XAI
Diagnostic Features: Melanomia
Do experienced birders prefer arrows labeled with diagnostic features
Do Novices Learn faster when given diagnostic fea
Learning to label with diagnostic/explanatory fae
Multi-task learning for classification and diagnostic features
Putting it all together
Papers
Taught by
USC Information Sciences Institute