guanchuwang / SHEAR

Related projects ⓘ

Alternatives and complementary repositories for SHEAR

• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆50Updated 6 months ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆61Updated last year
• criteo-research / continuous-fairness
  ☆22Updated 5 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated 6 months ago
• baharanm / craig
  Data-efficient Training of Machine Learning Models
  ☆61Updated 3 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆38Updated 2 years ago
• LJSthu / HRM
  The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.
  ☆24Updated 3 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆61Updated 8 months ago
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated last year
• devnkong / GOAT
  Official implementation of GOAT model (ICML2023)
  ☆34Updated last year
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 4 years ago
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆109Updated 10 months ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆85Updated 3 months ago
• VITA-Group / Unified-LTH-GNN
  [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…
  ☆63Updated last year
• lucweytingh / ARL-UvA
  A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…
  ☆20Updated 3 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆79Updated 4 months ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆42Updated last year
• zxj32 / uncertainty-GNN
  Uncertainty Aware Semi-Supervised Learning on Graph Data
  ☆40Updated 3 years ago
• ahxt / fair_fairness_benchmark
  FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
  ☆25Updated 6 months ago
• yuji-roh / fairbatch
  FairBatch: Batch Selection for Model Fairness (ICLR 2021)
  ☆19Updated last year
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆85Updated 3 years ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated last year
• YaoRujing / Data-Optimization
  Data Optimization in Deep Learning: A Survey
  ☆16Updated last year
• wangyongjie-ntu / CFAI
  A collection of algorithms of counterfactual explanations.
  ☆50Updated 3 years ago
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆49Updated 3 years ago
• Kaixiong-Zhou / DGN
  Pytorch implementation of differentiable group normalization (NeurIPS 2020)
  ☆37Updated 4 years ago
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆55Updated 11 months ago
• patrickrchao / DiffusionBasedCausalModels
  ☆23Updated last year
• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆65Updated last year