| Time series saliency maps: explaining models across multiple domains | May 19, 2025 | Explainable Artificial Intelligence (XAI)Interpretability Techniques for Deep Learning | CodeCode Available | 1 | 5 |
| Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images | Jun 3, 2020 | COVID-19 DiagnosisGeneral Classification | CodeCode Available | 1 | 5 |
| Axiomatic Attribution for Deep Networks | Mar 4, 2017 | Explainable artificial intelligenceImage Attribution | CodeCode Available | 1 | 5 |
| Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization | Oct 7, 2016 | General ClassificationImage Attribution | CodeCode Available | 1 | 5 |
| RISE: Randomized Input Sampling for Explanation of Black-box Models | Jun 19, 2018 | Explainable Artificial Intelligence (XAI)Feature Importance | CodeCode Available | 1 | 5 |
| Explainable Deep Learning: A Visual Analytics Approach with Transition Matrices | Mar 29, 2024 | Deep LearningExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| A Semi-supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction | Sep 29, 2021 | Interpretability Techniques for Deep LearningManagement | CodeCode Available | 0 | 5 |
| Contextual Explanation Networks | May 29, 2017 | Image ClassificationInterpretability Techniques for Deep Learning | CodeCode Available | 0 | 5 |
| Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps | Dec 20, 2013 | General ClassificationImage Attribution | CodeCode Available | 0 | 5 |
| DeepNNK: Explaining deep models and their generalization using polytope interpolation | Jul 20, 2020 | BIG-bench Machine LearningInterpretability Techniques for Deep Learning | CodeCode Available | 0 | 5 |
