SOTAVerified|Agents Browse Leaderboard About

Interpretability Techniques for Deep Learning

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 21–25 of 25 papers

Title	Date	Tasks	Status	Hype
A Unified Approach to Interpreting Model Predictions	May 22, 2017	Feature ImportanceImage Attribution	CodeCode Available	1
Axiomatic Attribution for Deep Networks	Mar 4, 2017	Explainable artificial intelligenceImage Attribution	CodeCode Available	1
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization	Oct 7, 2016	General ClassificationImage Attribution	CodeCode Available	1
"Why Should I Trust You?": Explaining the Predictions of Any Classifier	Feb 16, 2016	Image Attributionimage-classification	CodeCode Available	1
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	Dec 20, 2013	General ClassificationImage Attribution	CodeCode Available	0

Show:10 25 50

← PrevPage 3 of 3Next →

All datasets CausalGym CelebA

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DAS	Log odds-ratio (pythia-6.9b)	9.95	—	Unverified
2	Linear probe	Log odds-ratio (pythia-6.9b)	3.42	—	Unverified
3	Difference-in-means	Log odds-ratio (pythia-6.9b)	2.91	—	Unverified
4	k-means	Log odds-ratio (pythia-6.9b)	1.87	—	Unverified
5	PCA	Log odds-ratio (pythia-6.9b)	1.81	—	Unverified
6	LDA	Log odds-ratio (pythia-6.9b)	0.27	—	Unverified
7	Random	Log odds-ratio (pythia-6.9b)	0.01	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RISE	Insertion AUC score	0.57	—	Unverified
2	HSIC-Attribution	Insertion AUC score	0.57	—	Unverified
3	Kernel SHAP	Insertion AUC score	0.52	—	Unverified
4	LIME	Insertion AUC score	0.52	—	Unverified
5	Saliency	Insertion AUC score	0.46	—	Unverified
6	Grad-CAM	Insertion AUC score	0.37	—	Unverified
7	Integrated Gradients	Insertion AUC score	0.36	—	Unverified