lapalap / B-LRPLinks
B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
☆18Updated 3 years ago
Alternatives and similar repositories for B-LRP
Users that are interested in B-LRP are comparing it to the libraries listed below
Sorting:
- Active and Sample-Efficient Model Evaluation☆24Updated 3 months ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Self-Explaining Neural Networks☆42Updated 5 years ago
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆100Updated 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
- Multislice PHATE for tensor embeddings☆60Updated 4 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters☆30Updated 4 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 3 years ago
- ☆38Updated 4 years ago
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- ☆37Updated last year
- Algorithms for abstention, calibration and domain adaptation to label shift.☆37Updated 4 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- Visual Explanation using Uncertainty based Class Activation Maps☆23Updated 5 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆17Updated 6 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"☆20Updated 3 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆78Updated 3 years ago
- ☆46Updated 4 years ago
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- Reusable BatchBALD implementation☆79Updated last year
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆50Updated 4 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 3 years ago
- Quantile risk minimization☆24Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago