UCSB-NLP-Chang / Fairness-Reprogramming

Related projects ⓘ

Alternatives and complementary repositories for Fairness-Reprogramming

• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆44Updated 3 months ago
• ml-research / Fair-Diffusion
  ☆45Updated last year
• zhihengli-UR / DebiAN
  Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
  ☆23Updated last year
• princetonvisualai / DomainBiasMitigation
  ☆72Updated 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
  ☆33Updated 3 years ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆43Updated last year
• aandyjeon / UBNet
  CVPR2022
  ☆27Updated 8 months ago
• valentyn1boreiko / DVCEs
  ☆35Updated 6 months ago
• Newbeeer / V-information
  Code for the ICLR 2020 Paper, "A Theory of Usable Information under Computational Constraints"
  ☆24Updated 4 years ago
• NYU-DICE-Lab / circumventing-concept-erasure
  ☆16Updated last year
• princetonvisualai / directional-bias-amp
  https://arxiv.org/abs/2102.12594
  ☆14Updated last year
• princetonvisualai / gan-debiasing
  Fair Attribute Classification through Latent Space De-biasing (CVPR 2021)
  ☆73Updated 3 years ago
• Wuyxin / DISC
  Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)
  ☆40Updated 6 months ago
• naver-ai / cgl_fairness
  ☆14Updated 10 months ago
• somepago / DCR
  Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.
  ☆104Updated 11 months ago
• chingyaoc / debias_vl
  Code for Debiasing Vision-Language Models via Biased Prompts
  ☆53Updated last year
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆108Updated 2 years ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆46Updated 2 years ago
• clear-nus / selective-amnesia
  ☆56Updated last month
• haonan3 / SilentBadDiffusion
  ☆12Updated 3 months ago
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆20Updated 2 years ago
• SprocketLab / roboshot
  ☆22Updated 5 months ago
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆32Updated last year
• chawins / adv-part-model
  Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)
  ☆22Updated last year
• UCSB-NLP-Chang / ULD
  Implementation of paper 'Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference' [NeurIPS'24…
  ☆13Updated 4 months ago
• AntonotnaWang / HINT
  [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer
  ☆21Updated last year
• Hritikbansal / generative-robustness
  Create generated datasets and train robust classifiers
  ☆35Updated last year
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆52Updated last year
• HazyResearch / correct-n-contrast
  Official code repository for Correct-N-Contrast
  ☆20Updated 2 years ago
• abonte / protopdebug
  Implementation of Concept-level Debugging of Part-Prototype Networks
  ☆11Updated last year