amiratag / ACE
Towards Automatic Concept-based Explanations
☆157Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for ACE
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆125Updated 3 years ago
- ☆109Updated 2 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 3 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆51Updated 2 years ago
- ☆48Updated 4 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆35Updated 2 years ago
- Quantitative Testing with Concept Activation Vectors in PyTorch☆41Updated 5 years ago
- Concept Bottleneck Models, ICML 2020☆180Updated last year
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.☆181Updated 2 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆73Updated 2 years ago
- Detect model's attention☆156Updated 4 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 4 years ago
- Interpretation of Neural Network is Fragile☆36Updated 6 months ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆51Updated 5 years ago
- Original dataset release for CIFAR-10H☆82Updated 4 years ago
- ☆131Updated 5 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆60Updated 5 years ago
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆341Updated 2 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆94Updated 2 years ago
- ☆117Updated 2 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 years ago
- This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our pap…☆22Updated 3 years ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆219Updated 2 years ago
- Dataset and code for the CLEVR-XAI dataset.☆29Updated last year
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆299Updated 3 years ago
- Full-gradient saliency maps☆203Updated last year
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆344Updated 4 years ago
- SmoothGrad implementation in PyTorch☆168Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆155Updated 10 months ago
- Code for the TCAV ML interpretability project☆632Updated 3 months ago