Alternatives and similar repositories for DomainBiasMitigation

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

• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆91Updated 4 years ago
• alinlab / BAR
  The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…
  ☆32Updated 4 years ago
• uvavision / Balanced-Datasets-Are-Not-Enough
  [ICCV 2019] Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
  ☆31Updated 3 years ago
• zhihengli-UR / DebiAN
  Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
  ☆24Updated 2 years ago
• feidfoe / learning-not-to-learn
  [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data
  ☆111Updated 5 years ago
• EIDOSLAB / entangling-disentangling-bias
  EnD: Entangling and Disentangling deep representations for bias correction | CVPR21 https://doi.org/10.1109/CVPR46437.2021.01330
  ☆16Updated 3 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆122Updated 3 years ago
• hendrycks / pre-training
  Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
  ☆100Updated 3 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆56Updated 3 years ago
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆56Updated 4 years ago
• MadryLab / backgrounds_challenge
  ☆141Updated 4 years ago
• chihkuanyeh / concept_exp
  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
  ☆53Updated 3 years ago
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆50Updated 4 years ago
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆48Updated 10 months ago
• princetonvisualai / gan-debiasing
  Fair Attribute Classification through Latent Space De-biasing (CVPR 2021)
  ☆74Updated 3 years ago
• deeplearning-wisc / vit-spurious-robustness
  ☆26Updated 2 years ago
• HaohanWang / HEX
  Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
  ☆27Updated 4 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• DQle38 / Fair-Feature-Distillation-for-Visual-Recognition
  Official implementation of paper 'Fair Feature Distillation for Visual Recognition'
  ☆17Updated 3 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• harshays / simplicitybiaspitfalls
  The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)
  ☆40Updated last year
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• zhihengli-UR / discover_unknown_biases
  Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)
  ☆20Updated 3 years ago
• tml-epfl / adv-training-corruptions
  On the effectiveness of adversarial training against common corruptions [UAI 2022]
  ☆30Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• erobic / bias-mitigators
  Demonstrates failures of bias mitigation methods under varying types/levels of biases (WACV 2021)
  ☆25Updated last year
• AidenDurrant / SimCLR-Pytorch
  An implementation of "A Simple Framework for Contrastive Learning of Visual Representatoins" SimCLR
  ☆33Updated 4 years ago