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)☆99Updated 7 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆127Updated 7 months ago
- Scalable data valuation using optimal transport (ICLR 2025)☆13Updated 2 months ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆116Updated 2 years ago
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.☆30Updated last year
- Data Optimization in Deep Learning: A Survey☆19Updated last year
- translation of VHL repo in paddle☆25Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆35Updated 3 years ago
- Official implementation of GOAT model (ICML2023)☆38Updated 2 years ago
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆25Updated 4 years ago
- ☆24Updated 2 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated 4 months ago
- ☆22Updated 6 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Updated last year
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆38Updated 4 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆24Updated 3 months ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆20Updated 2 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 3 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆53Updated 2 years ago
- The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…☆114Updated last year
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆33Updated last year
- ☆44Updated 5 months ago
- Awesome coreset/core-set/subset/sample selection works.☆181Updated last year
- ☆49Updated 2 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆46Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago