maxdreyer / L-CRP
Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.
☆14Updated last year
Alternatives and similar repositories for L-CRP:
Users that are interested in L-CRP are comparing it to the libraries listed below
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆19Updated last year
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆124Updated 9 months ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆15Updated 2 years ago
- CoSy: Evaluating Textual Explanations☆16Updated 2 months ago
- ☆10Updated 3 months ago
- Invertible Concept-based Explanation (ICE)☆18Updated 3 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆75Updated 10 months ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆38Updated 4 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆204Updated 2 years ago
- Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers, Paper accepted at eXCV workshop of ECCV 2…☆18Updated 2 months ago
- Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations☆24Updated 2 weeks ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆48Updated 8 months ago
- ☆39Updated 10 months ago
- A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept dat…☆91Updated 11 months ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆62Updated last year
- ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations☆16Updated 2 months ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆13Updated last month
- Dataset and code for the CLEVR-XAI dataset.☆31Updated last year
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 4 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated last year
- This is the official implementation of the Concept Discovery Models paper.☆13Updated last year
- ☆10Updated last year
- The official code of Relevance-CAM☆41Updated last year
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆89Updated 2 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆48Updated last year
- Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation☆63Updated 3 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆24Updated last year
- Official PyTorch implementation of improved B-cos models☆47Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆30Updated last year
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆34Updated 11 months ago