ajsanjoaquin / Shapley_ValuationLinks
PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuation of Data" by Amirata Ghorbani and James Zou [ICML 2019]
☆27Updated 3 years ago
Alternatives and similar repositories for Shapley_Valuation
Users that are interested in Shapley_Valuation are comparing it to the libraries listed below
Sorting:
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"☆26Updated 5 years ago
- Self-Explaining Neural Networks☆43Updated 5 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 4 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- An amortized approach for calculating local Shapley value explanations☆99Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated 2 years ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆30Updated 3 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 5 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆36Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 4 months ago
- Official repository for the AAAI-21 paper 'Explainable Models with Consistent Interpretations'☆18Updated 3 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated last year
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆22Updated 2 years ago
- Measuring data importance over ML pipelines using the Shapley value.☆43Updated 3 weeks ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 7 months ago
- ☆16Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- Interpretable Explanations of Black Boxes by Meaningful Perturbation Pytorch☆12Updated last year
- ☆38Updated 4 years ago
- CL-Gym: Full-Featured PyTorch Library for Continual Learning☆41Updated last year
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- ☆31Updated 3 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆221Updated 2 years ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆20Updated 2 years ago
- ☆25Updated 3 years ago