| CausalGym: Benchmarking causal interpretability methods on linguistic tasks | Feb 19, 2024 | BenchmarkingInterpretability Techniques for Deep Learning | CodeCode Available | 2 |
| Less is More: Fewer Interpretable Region via Submodular Subset Selection | Feb 14, 2024 | Error UnderstandingImage Attribution | CodeCode Available | 2 |
| Time series saliency maps: explaining models across multiple domains | May 19, 2025 | Explainable Artificial Intelligence (XAI)Interpretability Techniques for Deep Learning | CodeCode Available | 1 |
| Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability | Mar 26, 2025 | Age/UnbiasedDecision Making | CodeCode Available | 1 |
| TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance | Dec 21, 2023 | Explainable ModelsFault localization | CodeCode Available | 1 |
| Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure | Jun 13, 2022 | Error UnderstandingImage Attribution | CodeCode Available | 1 |
| Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks | Mar 16, 2022 | Graph Neural NetworkInterpretability Techniques for Deep Learning | CodeCode Available | 1 |
| A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19 | Mar 8, 2022 | Correlated Time Series ForecastingCOVID-19 Modelling | CodeCode Available | 1 |
| DISSECT: Disentangled Simultaneous Explanations via Concept Traversals | May 31, 2021 | counterfactualFairness | CodeCode Available | 1 |
| Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images | Jun 3, 2020 | COVID-19 DiagnosisGeneral Classification | CodeCode Available | 1 |
| RISE: Randomized Input Sampling for Explanation of Black-box Models | Jun 19, 2018 | Explainable Artificial Intelligence (XAI)Feature Importance | CodeCode Available | 1 |
| A Unified Approach to Interpreting Model Predictions | May 22, 2017 | Feature ImportanceImage Attribution | CodeCode Available | 1 |
| Axiomatic Attribution for Deep Networks | Mar 4, 2017 | Explainable artificial intelligenceImage Attribution | CodeCode Available | 1 |
| Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization | Oct 7, 2016 | General ClassificationImage Attribution | CodeCode Available | 1 |
| "Why Should I Trust You?": Explaining the Predictions of Any Classifier | Feb 16, 2016 | Image Attributionimage-classification | CodeCode Available | 1 |
| IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology | Aug 29, 2024 | ClassificationDenoising | CodeCode Available | 0 |
| Explainable Deep Learning: A Visual Analytics Approach with Transition Matrices | Mar 29, 2024 | Deep LearningExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 |
| Improving Interpretability via Regularization of Neural Activation Sensitivity | Nov 16, 2022 | Adversarial RobustnessExplanation Fidelity Evaluation | —Unverified | 0 |
| 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 |
| A deep supervised learning approach for condition-based maintenance of naval propulsion systems Tarek | Dec 29, 2020 | Interpretability Techniques for Deep Learning | —Unverified | 0 |
| DeepNNK: Explaining deep models and their generalization using polytope interpolation | Jul 20, 2020 | BIG-bench Machine LearningInterpretability Techniques for Deep Learning | CodeCode Available | 0 |
| An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics | Feb 21, 2020 | Decision MakingInterpretability Techniques for Deep Learning | —Unverified | 0 |
| What Do Compressed Deep Neural Networks Forget? | Nov 13, 2019 | FairnessInterpretability Techniques for Deep Learning | CodeCode Available | 0 |
| Contextual Explanation Networks | May 29, 2017 | Image ClassificationInterpretability Techniques for Deep Learning | CodeCode Available | 0 |
| Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps | Dec 20, 2013 | General ClassificationImage Attribution | CodeCode Available | 0 |
