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

Analyzing Hate Speech Amplification on Fringe Platforms ACL 2026
Modular Arithmetic: Language Models Solve Math Digit by Digit IJCNLP 2025
When LRP Diverges from Leave-One-Out in Transformers EMNLP 2025
Accurate Estimation of Feature Importance Faithfulness for Tree Models AAAI 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025
The Reader is the Metric: How Textual Features and Reader Profiles Explain Conflicting Evaluations of AI Creative Writing ACL 2025
DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences CVPR 2025
Modular Arithmetic: Language Models Solve Math Digit by Digit AACL 2025
FINDR: A Fast Influential Data Selector for NL2Code Pretraining AACL 2025
Evaluating Sensitivity Consistency of Explanations WACV 2025
Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations AAAI 2025
Towards Trustable SHAP Scores AAAI 2025
SMP-Attack: Boosting the Transferability of Feature Importance-based Adversarial Attack with Semantics-aware Multi-granularity Patchout ICCV 2025
CGS-Mask: Making Time Series Predictions Intuitive for All AAAI 2024
G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024
Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024
CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem AAAI 2024
Accelerating the Global Aggregation of Local Explanations AAAI 2024
BMX: Boosting Natural Language Generation Metrics with Explainability EACL 2024
Permutation-Based Hypothesis Testing for Neural Networks AAAI 2024
BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024
Sparse and Faithful Explanations Without Sparse Models AISTATS 2024
The Key Points: Using Feature Importance to Identify Shortcomings in Sign Language Recognition Models COLING 2024
Axiomatic Aggregations of Abductive Explanations AAAI 2024
Testing Semantic Importance via Betting NIPS 2024