This is a list of awesome prototype-based papers for explainable artificial intelligence.
☆44Dec 12, 2022Updated 3 years ago
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- Official PyTorch implementation of paper "Schema Inference for Interpretable Image Classification" (ICLR 2023)☆16Apr 6, 2023Updated 3 years ago
- A TensorFlow [2.0] implementation of ProSeNet: "Interpretable and Steerable Sequence Learning via Prototypes" (Ming et al., 2019)☆13Dec 19, 2019Updated 6 years ago
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- GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…☆14May 30, 2021Updated 5 years ago
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- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Apr 23, 2024Updated 2 years ago
- [ICCV 2023] Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks☆19Oct 12, 2023Updated 2 years ago
- [AAAI 2022] Pytorch implementation of "LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization".☆22Jul 13, 2022Updated 4 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆38Oct 16, 2023Updated 2 years ago
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆27May 15, 2022Updated 4 years ago
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- A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels …☆12Apr 6, 2025Updated last year
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆42Sep 17, 2025Updated 11 months ago
- ☆11Oct 17, 2023Updated 2 years ago
- A Survey of Direct Preference Optimization (DPO)☆93Jul 4, 2025Updated last year
- PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.☆30Oct 20, 2021Updated 4 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆77Nov 21, 2017Updated 8 years ago
- Counterfactual SHAP: a framework for counterfactual feature importance☆21Jul 6, 2023Updated 3 years ago
- matlab code☆18Dec 19, 2021Updated 4 years ago
- Official repository for the paper DL2PA: Hyperspherical Classification with Dynamic Label-to-Prototype Assignment (CVPR 2024).☆14Jul 19, 2024Updated 2 years ago
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- Official codebase for paper Disentangled Condensation for Graphs (DisCo). This codebase is based on the open-source Pytorch Geometric fra…☆11Feb 12, 2025Updated last year
- GCPR 2023 - DeViL: Decoding Vision features into Language☆12Oct 16, 2023Updated 2 years ago
- Code for paper "Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals"☆18Oct 17, 2022Updated 3 years ago
- A survey on data-centric foundation models in healthcare.☆78Feb 14, 2026Updated 6 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆51Nov 6, 2024Updated last year
- TF2 implementation of a domain adversarial neural network☆14Nov 26, 2019Updated 6 years ago
- Research model for classification and feature extraction of dermatoscopic images☆26May 22, 2023Updated 3 years ago
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- [Pattern Recognition, 2020] Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification☆13May 28, 2022Updated 4 years ago
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- [ECCV 2022] Contrastive Prototypical Network with Wasserstein Confidence Penalty☆11Oct 20, 2022Updated 3 years ago
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