Local explanations with uncertainty π!
β42Aug 8, 2023Updated 2 years ago
Alternatives and similar repositories for Modeling-Uncertainty-Local-Explainability
Users that are interested in Modeling-Uncertainty-Local-Explainability are comparing it to the libraries listed below
Sorting:
- bayesian limeβ18Aug 3, 2024Updated last year
- HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)β22Jan 19, 2023Updated 3 years ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"β20May 14, 2021Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)β28Jul 10, 2021Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)β84Dec 8, 2022Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"β35Apr 23, 2024Updated last year
- β11Jun 12, 2021Updated 4 years ago
- Explanation Optimizationβ13Oct 16, 2020Updated 5 years ago
- β16Feb 25, 2026Updated 3 weeks ago
- Bayesian Adaptive Spline Surfaces for flexible and automatic regressionβ25Jan 31, 2026Updated last month
- For calculating global feature importance using Shapley values.β285Updated this week
- Learning to Estimate Shapley Values with Vision Transformersβ37Mar 4, 2026Updated 2 weeks ago
- β14Apr 23, 2019Updated 6 years ago
- Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arxβ¦β19Feb 16, 2021Updated 5 years ago
- Trees FAst RashoMon Setsβ47May 27, 2025Updated 9 months ago
- python tools to check recourse in linear classificationβ76Jan 8, 2021Updated 5 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"β27Aug 22, 2023Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanationsβ252Aug 17, 2024Updated last year
- β23May 12, 2021Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.β59Jul 19, 2021Updated 4 years ago
- β18Oct 29, 2022Updated 3 years ago
- Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"β21Apr 30, 2022Updated 3 years ago
- GLIME is a post-hoc explanation method which is proved to be much more stable and faithful than LIME.β15Oct 15, 2024Updated last year
- PRML (Pattern Recognition and Machine Learning) Solution Manual in Japaneseβ12Apr 1, 2019Updated 6 years ago
- A repository for explaining feature attributions and feature interactions in deep neural networks.β192Jan 16, 2022Updated 4 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniquesβ72Jan 26, 2023Updated 3 years ago
- Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.β18Apr 25, 2021Updated 4 years ago
- Efficiently search and mine for specific (targeted) classes/slices in your dataset to improve model performance and personalize your modeβ¦β20Nov 17, 2023Updated 2 years ago
- ICSE2021 Submissionβ13Aug 28, 2022Updated 3 years ago
- β13Aug 29, 2022Updated 3 years ago
- β18May 14, 2024Updated last year
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 forβ¦β25Feb 23, 2022Updated 4 years ago
- β29Jul 12, 2022Updated 3 years ago
- β16Jan 26, 2023Updated 3 years ago
- Counterfactual SHAP: a framework for counterfactual feature importanceβ21Jul 6, 2023Updated 2 years ago
- TaskMet Task-driven Metric Learning for Model Learningβ20Feb 9, 2024Updated 2 years ago
- β13Jul 26, 2023Updated 2 years ago
- β16Nov 4, 2021Updated 4 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networksβ14Mar 2, 2023Updated 3 years ago