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| 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 |
