SOTAVerified

Feature Importance

Papers

Showing 51100 of 890 papers

TitleStatusHype
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?Code1
Label-Free Explainability for Unsupervised ModelsCode1
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responsesCode1
Rethinking Attention-Model Explainability through Faithfulness Violation TestCode1
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative GamesCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
Counterfactual Shapley Additive ExplanationsCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
Discretized Integrated Gradients for Explaining Language ModelsCode1
Temporal Dependencies in Feature Importance for Time Series PredictionsCode1
Feature Importance-aware Transferable Adversarial AttacksCode1
Joint Shapley values: a measure of joint feature importanceCode1
ControlBurn: Feature Selection by Sparse ForestsCode1
Explaining Time Series Predictions with Dynamic MasksCode1
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance ExplanationsCode1
LFI-CAM: Learning Feature Importance for Better Visual ExplanationCode1
Grouped Feature Importance and Combined Features Effect PlotCode1
Text Guide: Improving the quality of long text classification by a text selection method based on feature importanceCode1
Feature Importance Explanations for Temporal Black-Box ModelsCode1
Facial Expression Recognition in the Wild via Deep Attentive Center LossCode1
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial LearningCode1
E2E-FS: An End-to-End Feature Selection Method for Neural NetworksCode1
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for AutoencodersCode1
TimeSHAP: Explaining Recurrent Models through Sequence PerturbationsCode1
Multi-View Adaptive Fusion Network for 3D Object DetectionCode1
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
Shapley Flow: A Graph-based Approach to Interpreting Model PredictionsCode1
Benchmarking Deep Learning Interpretability in Time Series PredictionsCode1
Measuring Association Between Labels and Free-Text RationalesCode1
Feature Importance Ranking for Deep LearningCode1
Understanding Information Processing in Human Brain by Interpreting Machine Learning ModelsCode1
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction TaskCode1
agtboost: Adaptive and Automatic Gradient Tree Boosting ComputationsCode1
Reliable Post hoc Explanations: Modeling Uncertainty in ExplainabilityCode1
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature ImportanceCode1
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning ModelsCode1
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation VectorsCode1
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data AugmentationCode1
Efficient nonparametric statistical inference on population feature importance using Shapley valuesCode1
Nonparametric Feature Impact and ImportanceCode1
DBA: Distributed Backdoor Attacks against Federated LearningCode1
Learning to Faithfully Rationalize by ConstructionCode1
Understanding Global Feature Contributions With Additive Importance MeasuresCode1
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAICode1
A Matlab Toolbox for Feature Importance RankingCode1
Explainability and Adversarial Robustness for RNNsCode1
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate PredictionCode1
Disentangled Attribution Curves for Interpreting Random Forests and Boosted TreesCode1
Interpret Federated Learning with Shapley ValuesCode1
Interpretable machine learning: definitions, methods, and applicationsCode1
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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