conftrace_

feature importance

139 papers

Explore in graph

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

Model Agnostic Multilevel Explanations NIPS 2020
Deep Direct Likelihood Knockoffs NIPS 2020
Understanding Global Feature Contributions With Additive Importance Measures NIPS 2020
Generating Interpretable Poverty Maps using Object Detection in Satellite Images IJCAI 2020
Problems with Shapley-value-based explanations as feature importance measures ICML 2020
Towards Interpretation of Pairwise Learning AAAI 2020
Neuron Shapley: Discovering the Responsible Neurons NIPS 2020
What went wrong and when? Instance-wise feature importance for time-series black-box models NIPS 2020
Using Small Business Banking Data for Explainable Credit Risk Scoring AAAI 2020
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge ICML 2020
RANCC: Rationalizing Neural Networks via Concept Clustering COLING 2020
Explaining the Explainer: A First Theoretical Analysis of LIME AISTATS 2020
Evaluating and Aggregating Feature-based Model Explanations IJCAI 2020
Benchmarking Deep Learning Interpretability in Time Series Predictions NIPS 2020
A Benchmark for Interpretability Methods in Deep Neural Networks NIPS 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty NIPS 2019
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification IJCNLP 2019
A Debiased MDI Feature Importance Measure for Random Forests NIPS 2019
Understanding Learned Models by Identifying Important Features at the Right Resolution AAAI 2019
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks AAAI 2019
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation ICML 2019
Attention is not Explanation NAACL 2019
Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees AISTATS 2019
Towards Automatic Concept-based Explanations NIPS 2019
Interpretation of Neural Networks Is Fragile AAAI 2019