conftrace_

feature attribution

280 papers

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Also known as

FA

Co-occurring keywords

model interpretability (519) explainable ai (480) shapley value (206) model explanation (155) neural network (6616) text classification (6793) explainable artificial intelligence (130) neural network interpretability (114) integrated gradient (71) attribution method (79)

Papers

NEAT-IR: Neural Explainable Analysis Tool for Information Retrieval ACL 2026
Beyond the Token: Correcting the Tokenization Bias in XAI via Morphologically-Aligned Projection EACL 2026
Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models AAAI 2026
Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification WACV 2026
Interpretable Reward Model via Sparse Autoencoder AAAI 2026
Rethinking Explanation Evaluation Under the Retraining Scheme AAAI 2026
Feature Attribution for Human Sensing with Radio Signals AAAI 2026
On the Computational Tractability of Probabilistic Global and Local Sufficient Explanation AAAI 2026
PR-XAI: PageRank-Based Feature Attribution for Transformers ACL 2026
Digital Forensic AI You Can Explain: A Case Study on Video Source Camera Identification WACV 2026
LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection ACL 2026
Shapley Value Approximation Based on k-Additive Games AAAI 2026
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes AAAI 2026
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier AAAI 2026
Fast Explanations via Policy Gradient-Optimized Explainer IJCAI 2025
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow ACL 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions CVPR 2025
Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis WACV 2025
FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning ICCV 2025
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition CVPR 2025
Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics AACL 2025
Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics IJCNLP 2025
Using Shapley interactions to understand how models use structure ACL 2025
ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques AAAI 2025
Retrieve to Explain: Evidence-driven Predictions for Explainable Drug Target Identification ACL 2025