SOTAVerified

Feature Importance

Papers

Showing 110 of 890 papers

TitleStatusHype
Attention is not ExplanationCode3
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning ModelsCode2
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare RecordsCode2
Inseq: An Interpretability Toolkit for Sequence Generation ModelsCode2
OpenFE: Automated Feature Generation with Expert-level PerformanceCode2
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndCode2
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous DrivingCode1
Underwater Image Restoration via Polymorphic Large Kernel CNNsCode1
WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning ModelsCode1
GraphXAIN: Narratives to Explain Graph Neural NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Garson Variable ImportancePearson Correlation0.76Unverified
2VarImpVIANNPearson Correlation0.76Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.6Unverified
2Garson Variable ImportancePearson Correlation0.22Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.86Unverified
2Garson Variable ImportancePearson Correlation0.64Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.83Unverified
2Garson Variable ImportancePearson Correlation0.6Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.9Unverified
2Garson Variable ImportancePearson Correlation0.73Unverified
#ModelMetricClaimedVerifiedStatus
1Garson Variable ImportancePearson Correlation0.74Unverified
2VarImpVIANNPearson Correlation0.41Unverified