conftrace_

feature importance

139 papers

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Also known as

FI

Co-occurring keywords

model interpretability (519) model explanation (155) explainable ai (480) shapley value (206) neural network (6616) feature attribution (280) text classification (6793) model interpretation (93) explainable artificial intelligence (130) random forest (326)

Papers

Sample based Explanations via Generalized Representers NIPS 2023
Unifying local and global model explanations by functional decomposition of low dimensional structures AISTATS 2023
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance IJCAI 2023
Common and differential acoustic representation of interpersonal and tactile iconic perception of Mandarin vowels INTERSPEECH 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NIPS 2022
Trading Complexity for Sparsity in Random Forest Explanations AAAI 2022
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations AISTATS 2022
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure NIPS 2022
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives NIPS 2022
Rethinking Attention-Model Explainability through Faithfulness Violation Test ICML 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games NIPS 2022
Feature Importance Explanations for Temporal Black-Box Models AAAI 2022
What You See is What You Classify: Black Box Attributions NIPS 2022
Accurate Shapley Values for explaining tree-based models AISTATS 2022
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance AAAI 2022
Feature selection for discovering distributional treatment effect modifiers UAI 2022
Improved feature importance computation for tree models based on the Banzhaf value UAI 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions ICML 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability NIPS 2022
AttCAT: Explaining Transformers via Attentive Class Activation Tokens NIPS 2022
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests AISTATS 2022
LIMESegment: Meaningful, Realistic Time Series Explanations AISTATS 2022
Label-Free Explainability for Unsupervised Models ICML 2022
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. AISTATS 2021
Dissecting the Aero-Acoustic Parameters of Open Articulatory Transitions INTERSPEECH 2021