guanchuwang / SHEARLinks
Towards Efficient Shapley Value Estimation via Cross-contribution Maximization
☆14Updated 3 years ago
Alternatives and similar repositories for SHEAR
Users that are interested in SHEAR are comparing it to the libraries listed below
Sorting:
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆100Updated last year
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆137Updated 11 months ago
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.☆31Updated last year
- Scalable data valuation using optimal transport (ICLR 2025)☆13Updated 6 months ago
- Data Optimization in Deep Learning: A Survey☆19Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Updated last year
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 3 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆47Updated 2 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- HKBU PhD/MPhil thesis template as well as key steps for submission☆37Updated 3 years ago
- translation of VHL repo in paddle☆25Updated 2 years ago
- ☆21Updated 3 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆68Updated 2 years ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 5 years ago
- ☆24Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆124Updated 2 years ago
- ☆22Updated 6 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆17Updated 5 years ago
- The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…☆120Updated last year
- ☆18Updated 3 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29Updated 8 months ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆121Updated 2 years ago
- FairBatch: Batch Selection for Model Fairness (ICLR 2021)☆19Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 3 years ago
- ☆39Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 3 years ago
- An amortized approach for calculating local Shapley value explanations☆105Updated 2 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 5 years ago
- A Python Data Valuation Package☆33Updated 3 years ago