amiratag / ACELinks
Towards Automatic Concept-based Explanations
☆159Updated last year
Alternatives and similar repositories for ACE
Users that are interested in ACE are comparing it to the libraries listed below
Sorting:
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 4 years ago
- ☆51Updated 4 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 3 years ago
- ☆111Updated 2 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Detect model's attention☆166Updated 4 years ago
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.☆185Updated 3 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Updated 6 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆36Updated 2 years ago
- Concept Bottleneck Models, ICML 2020☆204Updated 2 years ago
- Interpretation of Neural Network is Fragile☆36Updated last year
- ☆226Updated 4 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆75Updated 7 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆231Updated 3 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- ☆120Updated 3 years ago
- Original dataset release for CIFAR-10H☆83Updated 4 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆303Updated 4 years ago
- ☆141Updated 4 years ago
- REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999☆111Updated 2 years ago
- ☆73Updated 5 years ago
- This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our pap…☆22Updated 4 years ago
- Full-gradient saliency maps☆212Updated 2 years ago
- Concept activation vectors for Keras☆14Updated 2 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆98Updated 3 years ago
- Quantitative Testing with Concept Activation Vectors in PyTorch☆42Updated 6 years ago
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆366Updated 3 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆217Updated 6 years ago