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Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

ICLR 2017 · Label-efficient and robust learning › Recognition and long-tail · approach: Self-explaining and visual explanation networks · 487 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use conditional sampling instead of marginal sampling (ablation)Prediction Difference Analysis · ImageNetexplanation specificityHelped
vary patch size: larger patches smooth the visualization, while very large patches make it blurry (ablation)Prediction Difference Analysis with AlexNet · ImageNetvisualization interpretabilityMixed
use conditional sampling with single-pixel patches (k=1) (ablation)Prediction Difference Analysis with AlexNet · ImageNeteffect on classifier predictionHelped
condition on spatial grid location during conditional sampling (ablation)Prediction Difference Analysis · COBRA MRIinterpretabilityHelped
use prediction-difference visualizations instead of logistic-regression weightsMRI classifier explanations · COBRA MRIvisualization specificityHelped

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