FaithTrace uses the directional derivative of class logits along text-induced directions in feature space as an influence score to produce and evaluate more faithful zero-shot textual explanations for image classifiers.
In: 2017 IEEE Conference on Com- puter Vision and Pattern Recognition (CVPR)
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Zero-Shot Faithful Textual Explanations via Directional-Derivative Influence on Predictions
FaithTrace uses the directional derivative of class logits along text-induced directions in feature space as an influence score to produce and evaluate more faithful zero-shot textual explanations for image classifiers.