| Prototypical Self-Explainable Models Without Re-training | Dec 13, 2023 | Decision MakingExplainable Models | CodeCode Available | 0 | 5 |
| Benchmarking the Attribution Quality of Vision Models | Jul 16, 2024 | BenchmarkingExplainable Models | CodeCode Available | 0 | 5 |
| 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 | 5 |
| ProtoS-ViT: Visual foundation models for sparse self-explainable classifications | Jun 14, 2024 | Explainable Models | CodeCode Available | 0 | 5 |
| Relational Boosted Bandits | Dec 16, 2020 | AttributeDescriptive | CodeCode Available | 0 | 5 |
| Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning | May 5, 2021 | Adversarial AttackAnomaly Detection | CodeCode Available | 0 | 5 |
| Multimodal Explanations: Justifying Decisions and Pointing to the Evidence | Feb 15, 2018 | Activity RecognitionExplainable Models | CodeCode Available | 0 | 5 |
| Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery | Dec 10, 2019 | Explainable Modelsregression | CodeCode Available | 0 | 5 |
| A Framework for Learning Ante-hoc Explainable Models via Concepts | Aug 25, 2021 | Explainable ModelsExplanation Generation | CodeCode Available | 0 | 5 |
| Gaussian Process Neural Additive Models | Feb 19, 2024 | Additive modelsExplainable Models | CodeCode Available | 0 | 5 |
