Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
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Updated
May 4, 2021
Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
[WACV2025] SUM: Saliency Unification through Mamba for Visual Attention Modeling
Code for "Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability" (https://arxiv.org/abs/2010.09750)
Code and data for the ACL 2023 NLReasoning Workshop paper "Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods" (Feldhus et al., 2023)
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer
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