maxdreyer / Reveal2ReviseLinks
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
☆20Updated last year
Alternatives and similar repositories for Reveal2Revise
Users that are interested in Reveal2Revise are comparing it to the libraries listed below
Sorting:
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆15Updated 5 months ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Updated last year
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆139Updated last year
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆102Updated 3 years ago
- Invertible Concept-based Explanation (ICE)☆19Updated last month
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆89Updated last year
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆51Updated last year
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆73Updated 2 years ago
- ☆43Updated last year
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆19Updated 6 months ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆53Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Updated 4 months ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated 2 years ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆128Updated last year
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆16Updated 3 years ago
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆59Updated 2 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆71Updated 2 months ago
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆24Updated 2 years ago
- [ECCV24] Layer-Wise Relevance Propagation with Conservation Property for ResNet☆14Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆225Updated 3 years ago
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 5 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆40Updated last year
- ☆19Updated 5 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated last year
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆213Updated 5 months ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆40Updated 3 years ago
- [ICCV 2023] Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks☆18Updated 2 years ago
- Official PyTorch implementation of improved B-cos models☆55Updated 3 months ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated 2 years ago