daviddao / awesome-data-valuationLinks
π± A curated list of data valuation (DV) to design your next data marketplace
β136Updated 10 months ago
Alternatives and similar repositories for awesome-data-valuation
Users that are interested in awesome-data-valuation are comparing it to the libraries listed below
Sorting:
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)β100Updated 11 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computationβ140Updated 4 months ago
- Papers and online resources related to machine learning fairnessβ75Updated 2 years ago
- This is a collection of papers and other resources related to fairness.β95Updated 2 months ago
- A curated list of papers and resources about the distribution shift in machine learning.β123Updated 2 years ago
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.β31Updated last year
- β22Updated 6 years ago
- A simple PyTorch implementation of influence functions.β92Updated last year
- Influence Analysis and Estimation - Survey, Papers, and Taxonomyβ84Updated last year
- Distributional Shapley: A Distributional Framework for Data Valuationβ30Updated last year
- A Python Data Valuation Packageβ31Updated 2 years ago
- A curated list of trustworthy deep learning papers. Daily updating...β381Updated this week
- Towards Efficient Shapley Value Estimation via Cross-contribution Maximizationβ14Updated 3 years ago
- Data Banzhaf: A Robust Data Valuation Framework for Machine Learning (AISTATS 2023 Oral)β18Updated 2 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environmentsβ77Updated 3 years ago
- β50Updated last year
- Certified Removal from Machine Learning Modelsβ69Updated 4 years ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demogβ¦β20Updated 4 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.β16Updated 5 years ago
- Implementation of Minimax Pareto Fairness frameworkβ22Updated 5 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, β¦β23Updated 7 months ago
- Code for paper: Are Large Language Models Post Hoc Explainers?β34Updated last year
- A repository for summaries of recent explainable AI/Interpretable ML approachesβ88Updated last year
- Data-efficient Training of Machine Learning Modelsβ68Updated 5 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)β43Updated 3 years ago
- β31Updated 4 years ago
- Fair Empirical Risk Minimization (FERM)β37Updated 5 years ago
- Data Shapley: Equitable Valuation of Data for Machine Learningβ286Updated last year
- Awesome coreset/core-set/subset/sample selection works.β183Updated last year
- A curated list of Robust Machine Learning papers/articles and recent advancements.β33Updated 3 years ago