Alternatives and similar repositories for RNF-Fairness

Users that are interested in RNF-Fairness are comparing it to the libraries listed below

• m-Just / OoD-Bench
  ☆44Updated 4 months ago
• VITA-Group / Adversarial-Contrastive-Learning
  [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
  ☆114Updated 3 years ago
• YonggangZhangUSTC / CausalAdv
  Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'
  ☆43Updated last year
• deeplearning-wisc / vit-spurious-robustness
  ☆27Updated 2 years ago
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆13Updated 3 years ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆48Updated 3 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 4 years ago
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆91Updated 4 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• a5507203 / Instance-dependent-Label-noise-Learning-under-a-Structural-Causal-Model
  ☆16Updated last year
• DandanGuo1993 / reweight-imbalance-classification-with-OT
  ☆13Updated 2 years ago
• zleizzo / datadeletion
  ☆14Updated 5 years ago
• ynysjtu / ood_bench
  ☆49Updated 2 years ago
• yanyanSann / Long-Tailed-Classification-Leaderboard
  ☆29Updated 4 years ago
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆51Updated 4 years ago
• Vanint / Core-tuning
  This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…
  ☆21Updated 2 years ago
• grayhong / bias-contrastive-learning
  Official Pytorch implementation of "Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning (NeurIPS 2021)
  ☆37Updated 3 years ago
• DQle38 / Fair-Feature-Distillation-for-Visual-Recognition
  Official implementation of paper 'Fair Feature Distillation for Visual Recognition'
  ☆17Updated 4 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆44Updated 2 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 years ago
• deeplearning-wisc / Spurious_OOD
  ☆23Updated 3 years ago
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆31Updated last year
• lucweytingh / ARL-UvA
  A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…
  ☆20Updated 4 years ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• zhihengli-UR / DebiAN
  Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
  ☆25Updated 2 years ago
• goldblum / AdversariallyRobustDistillation
  Pytorch implementation of Adversarially Robust Distillation (ARD)
  ☆59Updated 6 years ago
• QizhouWang / MAIL
  source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training
  ☆11Updated 3 years ago
• nsfzyzz / boundary_thickness
  [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"
  ☆20Updated 4 years ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆44Updated 2 years ago
• jfc43 / informative-outlier-mining
  We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…
  ☆57Updated 3 years ago