| CausalGym: Benchmarking causal interpretability methods on linguistic tasks | Feb 19, 2024 | BenchmarkingInterpretability Techniques for Deep Learning | CodeCode Available | 2 | 5 |
| Less is More: Fewer Interpretable Region via Submodular Subset Selection | Feb 14, 2024 | Error UnderstandingImage Attribution | CodeCode Available | 2 | 5 |
| 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 | 5 |
| Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization | Oct 7, 2016 | General ClassificationImage Attribution | CodeCode Available | 1 | 5 |
| Axiomatic Attribution for Deep Networks | Mar 4, 2017 | Explainable artificial intelligenceImage Attribution | CodeCode Available | 1 | 5 |
| DISSECT: Disentangled Simultaneous Explanations via Concept Traversals | May 31, 2021 | counterfactualFairness | 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 |
| Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability | Mar 26, 2025 | Age/UnbiasedDecision Making | CodeCode Available | 1 | 5 |
| A Unified Approach to Interpreting Model Predictions | May 22, 2017 | Feature ImportanceImage Attribution | CodeCode Available | 1 | 5 |
| 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 | 5 |
