This is a list of awesome prototype-based papers for explainable artificial intelligence.
☆41Dec 12, 2022Updated 3 years ago
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- Official PyTorch implementation of paper "Schema Inference for Interpretable Image Classification" (ICLR 2023)☆15Apr 6, 2023Updated 3 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆40Dec 6, 2022Updated 3 years ago
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- HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)☆22Jan 19, 2023Updated 3 years ago
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- Differencing based self-supervised change detection☆10Apr 8, 2022Updated 4 years ago
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆26May 15, 2022Updated 3 years ago
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- PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.☆29Oct 20, 2021Updated 4 years ago
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- The official implementation of the paper "Topology-aware Generalization of Decentralized SGD"☆37Mar 29, 2023Updated 3 years ago
- Counterfactual SHAP: a framework for counterfactual feature importance☆21Jul 6, 2023Updated 2 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆42Sep 17, 2025Updated 7 months ago
- Official Code for ICML 2023 Data-Efficient Contrastive Self-supervised Learning☆33Apr 16, 2024Updated 2 years ago
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- TF2 implementation of a domain adversarial neural network☆14Nov 26, 2019Updated 6 years ago
- GCPR 2023 - DeViL: Decoding Vision features into Language☆12Oct 16, 2023Updated 2 years ago
- Official repository for the paper DL2PA: Hyperspherical Classification with Dynamic Label-to-Prototype Assignment (CVPR 2024).☆13Jul 19, 2024Updated last year
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