naver-ai / cgl_fairness

Related projects ⓘ

Alternatives and complementary repositories for cgl_fairness

• aandyjeon / UBNet
  CVPR2022
  ☆27Updated 8 months ago
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆89Updated 4 years ago
• skynbe / pseudo-attributes
  Official implementation of BPA (CVPR 2022)
  ☆12Updated 2 years ago
• mlfoundations / clip_quality_not_quantity
  ☆29Updated 2 years ago
• zhihengli-UR / DebiAN
  Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
  ☆23Updated last year
• alinlab / BAR
  The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…
  ☆30Updated 4 years ago
• inspire-group / proxy-distributions
  [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
  ☆26Updated 2 years ago
• naver-ai / hmix-gmix
  ☆21Updated 2 years ago
• naver-ai / mid.metric
  ☆29Updated last year
• DQle38 / Fair-Feature-Distillation-for-Visual-Recognition
  Official implementation of paper 'Fair Feature Distillation for Visual Recognition'
  ☆14Updated 3 years ago
• BierOne / Attention-Faithfulness
  [ICML 2022] This is the pytorch implementation of "Rethinking Attention-Model Explainability through Faithfulness Violation Test" (https:…
  ☆18Updated 2 years ago
• kakaoenterprise / Learning-Debiased-Disentangled
  Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"
  ☆98Updated last year
• uvavision / Balanced-Datasets-Are-Not-Enough
  [ICCV 2019] Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
  ☆33Updated 3 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆39Updated 2 years ago
• khanrc / miro
  Official PyTorch implementation of MIRO (ECCV 2022)
  ☆85Updated 2 years ago
• ShawnXYang / AT_HE
  ☆35Updated 3 years ago
• deeplearning-wisc / vit-spurious-robustness
  ☆24Updated last year
• VITA-Group / Nasty-Teacher
  [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…
  ☆81Updated 2 years ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆46Updated 3 years ago
• jh-jeong / smoothmix
  Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)
  ☆21Updated 2 years ago
• princetonvisualai / DomainBiasMitigation
  ☆72Updated 4 years ago
• kibok90 / imix
  ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
  ☆77Updated 11 months ago
• deeplearning-wisc / Spurious_OOD
  ☆21Updated 2 years ago
• alsdml / StyleMix
  ☆32Updated 3 years ago
• zhihengli-UR / discover_unknown_biases
  Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)
  ☆19Updated 3 years ago
• tmllab / 2021_NeurIPS_PES
  ☆29Updated last year
• wzhouad / Contra-OOD
  Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021
  ☆40Updated 2 years ago
• chawins / adv-part-model
  Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)
  ☆22Updated last year
• salesforce / ensemble-of-averages
  ☆29Updated last year
• amazon-science / normalizer-free-robust-training
  Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)
  ☆19Updated 2 years ago