conftrace_

integrated gradient

71 papers

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Also known as

IG IGR

Co-occurring keywords

feature attribution (280) attribution method (79) neural network (6616) model interpretability (519) deep neural network (1803) saliency map (125) explainable ai (480) neural network interpretability (114) input attribution (7) model explanation (155)

Papers

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models ACL 2026
GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs ACL 2026
Mitigating Copy Bias in In-Context Learning through Neuron Pruning EACL 2026
Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification WACV 2026
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation ACL 2025
InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series AAAI 2025
Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework NAACL 2025
ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution CVPR 2025
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path AAAI 2025
Four Axiomatic Characterizations of the Integrated Gradients Attribution Method JMLR 2025
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition WACV 2025
Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis EMNLP 2024
SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution IJCAI 2024
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision AAAI 2024
CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem AAAI 2024
The Impact of Integration Step on Integrated Gradients EACL 2024
Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model NIPS 2024
Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings COLING 2024
Investigating the Impact of Model Instability on Explanations and Uncertainty ACL 2024
IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons NIPS 2024
Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models ACL 2024
Comparative Study of Explainability Methods for Legal Outcome Prediction EMNLP 2024
AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression ACL 2023
Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling ICCV 2023
IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients CVPR 2023