YilunZhou / feature-attribution-evaluationLinks
Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"
☆20Updated 3 years ago
Alternatives and similar repositories for feature-attribution-evaluation
Users that are interested in feature-attribution-evaluation are comparing it to the libraries listed below
Sorting:
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆13Updated 2 years ago
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Updated 3 years ago
- Self-Explaining Neural Networks☆43Updated 5 years ago
- Active and Sample-Efficient Model Evaluation☆25Updated 6 months ago
- Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)☆15Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Explanation Optimization☆13Updated 5 years ago
- Causal data augmentation for pretraining debiasing☆11Updated 4 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago
- ☆16Updated 3 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆64Updated 5 years ago
- ☆12Updated 2 years ago
- Learning clinical-decision rules with interpretable models.☆20Updated 2 years ago
- Local explanations with uncertainty 💐!☆41Updated 2 years ago
- ☆17Updated 6 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆14Updated 6 years ago
- Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"☆15Updated 3 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆72Updated 2 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆20Updated last year
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 4 years ago
- Post-processing for fair classification☆16Updated 4 months ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year