| Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery | Dec 10, 2019 | Explainable Modelsregression | CodeCode Available | 0 |
| Pantypes: Diverse Representatives for Self-Explainable Models | Mar 14, 2024 | DiversityExplainable Models | CodeCode Available | 0 |
| A Framework for Learning Ante-hoc Explainable Models via Concepts | Aug 25, 2021 | Explainable ModelsExplanation Generation | CodeCode Available | 0 |
| HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection | Sep 17, 2024 | Explainable ModelsIn-Context Learning | CodeCode Available | 0 |
| Constructing and explaining machine learning models for chemistry: example of the exploration and design of boron-based Lewis acids | Jan 2, 2025 | Explainable Models | CodeCode Available | 0 |
| Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data | Sep 10, 2021 | BIG-bench Machine LearningExplainable Models | CodeCode Available | 0 |
| ProtoS-ViT: Visual foundation models for sparse self-explainable classifications | Jun 14, 2024 | Explainable Models | CodeCode Available | 0 |
| Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges | Mar 29, 2024 | Explainable Models | CodeCode Available | 0 |
| Prototype-based Interpretable Graph Neural Networks | Nov 16, 2022 | Explainable ModelsGraph Neural Network | CodeCode Available | 0 |
| Prototypical Self-Explainable Models Without Re-training | Dec 13, 2023 | Decision MakingExplainable Models | CodeCode Available | 0 |