Alternatives and similar repositories for SubpopBench:

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

• ys-zong / MEDFAIR
  [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
  ☆62Updated last year
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆39Updated last year
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆66Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆44Updated last year
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆26Updated 6 months ago
• p3i0t / SimCLR-CIFAR10
  Pytorch SimCLR on CIFAR10 (92.85% test accuracy)
  ☆59Updated 4 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆71Updated 11 months 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
  ☆37Updated 4 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆52Updated 10 months ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆139Updated last year
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆91Updated 4 years ago
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆77Updated 11 months ago
• arobey1 / mbdg
  ☆36Updated 3 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆30Updated 3 years ago
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆51Updated 3 years ago
• HazyResearch / thanos-code
  Code release for the paper Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
  ☆30Updated 2 years ago
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆44Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆48Updated 2 years ago
• Jonathan-Pearce / calibration-toolbox
  NumPy library for calibration metrics
  ☆70Updated last month
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆121Updated 3 years ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆48Updated last year
• zhang64-llnl / Mix-n-Match-Calibration
  ☆34Updated 4 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated last year
• LINs-lab / ttab
  [ICML23] On Pitfalls of Test-Time Adaptation
  ☆115Updated last year
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆48Updated 9 months ago