Alternatives and similar repositories for DIW

Users that are interested in DIW are comparing it to the libraries listed below

• ahujak / IB-IRM
  ☆31Updated 3 years ago
• microsoft / Domain-Adaptation-with-Conditional-Distribution-Matching-and-Generalized-Label-Shift
  Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
  ☆38Updated 4 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆38Updated 4 years ago
• IBM / wasserstein-barycenters
  Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…
  ☆22Updated 5 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆88Updated 3 years ago
• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆74Updated 3 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆35Updated 2 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 5 years ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 4 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆67Updated 2 years ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆44Updated 2 years ago
• microsoft / robustdg
  Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
  ☆175Updated last year
• JunwenBai / MPVAE
  MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification
  ☆31Updated 11 months ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• capybaralet / REx_code_release
  ☆63Updated 4 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆66Updated 4 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆46Updated 2 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 years ago
• VITA-Group / Self-PU
  [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…
  ☆69Updated 3 years ago
• Angie-Liu / labelshift
  Regularized Learning under label shifts
  ☆18Updated 6 years ago
• TjuJianyu / RFC
  ☆12Updated 2 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• jc-audet / WOODS
  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
  ☆69Updated 3 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆44Updated 2 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 4 years ago
• IntelLabs / AVUC
  Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
  ☆55Updated 2 years ago
• mertyg / beyond-confidence-atypicality
  Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
  ☆13Updated last year