ykwon0407 / beta_shapleyLinks
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
☆41Updated 2 years ago
Alternatives and similar repositories for beta_shapley
Users that are interested in beta_shapley are comparing it to the libraries listed below
Sorting:
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆21Updated last year
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆18Updated last year
- ☆38Updated 3 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆56Updated last year
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- A benchmark for distribution shift in tabular data☆52Updated 11 months ago
- PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuatio…☆27Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- ☆11Updated 2 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆60Updated 4 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆98Updated 4 months ago
- ☆89Updated last month
- Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"☆26Updated 5 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Self-Explaining Neural Networks☆42Updated 5 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 5 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆66Updated 2 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆27Updated last year
- ☆45Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 2 weeks ago
- ☆35Updated last year
- ☆30Updated 3 years ago
- ☆50Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated last year
- A simple PyTorch implementation of influence functions.☆88Updated 11 months ago