lapalap / B-LRP
B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
☆18Updated 2 years ago
Alternatives and similar repositories for B-LRP:
Users that are interested in B-LRP are comparing it to the libraries listed below
- Combating hidden stratification with GEORGE☆62Updated 3 years ago
- Self-Explaining Neural Networks☆39Updated 5 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 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
- Algorithms for abstention, calibration and domain adaptation to label shift.☆36Updated 4 years ago
- ☆17Updated 6 years ago
- Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"☆19Updated 2 years ago
- ☆34Updated 4 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆52Updated 2 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆96Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 3 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 2 years ago
- Multislice PHATE for tensor embeddings☆59Updated 3 years ago
- Tools for training explainable models using attribution priors.☆121Updated 3 years ago
- Local explanations with uncertainty 💐!☆39Updated last year
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- ☆17Updated 4 years ago
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters☆30Updated 4 years ago
- Official repository for the AAAI-21 paper 'Explainable Models with Consistent Interpretations'☆18Updated 2 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 2 years ago
- An uncertainty-based random sampling algorithm for data augmentation☆30Updated 4 years ago
- Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019☆14Updated 8 months ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆29Updated 2 years ago
- Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"☆18Updated 5 years ago