chihkuanyeh / saliency_evaluationLinks
Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for evaluating any saliency explanations.
☆25Updated 3 years ago
Alternatives and similar repositories for saliency_evaluation
Users that are interested in saliency_evaluation are comparing it to the libraries listed below
Sorting:
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Updated 3 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 3 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- ☆46Updated 4 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- ☆72Updated 5 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- ☆51Updated 5 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- ☆38Updated 5 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 8 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆42Updated 5 years ago
- Interpretation of Neural Network is Fragile☆36Updated last year
- ☆38Updated 4 years ago
- ☆112Updated 3 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆101Updated 3 years ago
- This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our pap…☆23Updated 4 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆92Updated 5 years ago
- ☆37Updated 2 years ago
- Towards Automatic Concept-based Explanations☆161Updated last year
- Active and Sample-Efficient Model Evaluation☆26Updated 6 months ago
- Quantitative Testing with Concept Activation Vectors in PyTorch☆43Updated 6 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 3 years ago
- ☆21Updated 2 years ago