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Fairness

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/sahibsin/Private_ClassImbalance

공식 코드

DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?

https://github.com/saigerutherford/nm_demographics

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To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling

https://github.com/sail-sg/finetune-fair-diffusion

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Finetuning Text-to-Image Diffusion Models for Fairness

https://github.com/saili0103/fairm

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FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality

https://github.com/saist1993/dpnlp

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Fair NLP Models with Differentially Private Text Encoders

https://github.com/sakshiudeshi/Aequitas

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Automated Directed Fairness Testing

https://github.com/sakshiudeshi/Astraea

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Astraea: Grammar-based Fairness Testing

https://github.com/samasky/algorithmic_fairness_matching

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Counterfactual Fairness in Mortgage Lending via Matching and Randomization

https://github.com/sandrewxu/centralizedselectionwithpreferencebias

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Centralized Selection with Preferences in the Presence of Biases

https://github.com/sapienzanlp/guardians-mt-eval

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Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!

https://github.com/saswatd27/icml_linearization_disparate_impact

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Disparate Impact on Group Accuracy of Linearization for Private Inference

https://github.com/sato9hara/stealthily-biased-sampling

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Faking Fairness via Stealthily Biased Sampling

https://github.com/savvinadaniil/enrichbookcrossing

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Hidden Author Bias in Book Recommendation

https://github.com/sayed-sys-lab/eafl

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Towards Energy-Aware Federated Learning on Battery-Powered Clients

https://github.com/schneiderkamplab/syntheval

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SynthEval: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data

https://github.com/schufa-innovationlab/fair-scoring

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Standardized Interpretable Fairness Measures for Continuous Risk Scores

https://github.com/sciecon/blockchain-ethics

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AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security

https://github.com/scotthlee/fairness

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Blackbox Post-Processing for Multiclass Fairness

https://github.com/seai-lab/pygbs

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TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

https://github.com/seai-lab/torchspatial

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TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

https://github.com/seansaito/Faster-LIME

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Improving LIME Robustness with Smarter Locality Sampling

https://github.com/sebastianberns/diversity-weights

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Towards Mode Balancing of Generative Models via Diversity Weights

https://github.com/secanth/massart

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Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability

https://github.com/selfexplainml/piml-toolbox

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PiML Toolbox for Interpretable Machine Learning Model Development and Diagnostics

https://github.com/semta-group/fairgenai

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Conditional Fairness for Generative AIs

https://github.com/sen-uni-kn/probspecs

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Probabilistic Verification of Neural Networks using Branch and Bound

https://github.com/sesarlab/continuous-management-of-ml-applications

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Continuous Management of Machine Learning-Based Application Behavior

https://github.com/sewen007/hoiltr

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Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics

https://github.com/sfanxiang/nano

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Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control

https://github.com/sfjiang1990/Coresets-for-Clustering-with-Fairness-Constraints

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Coresets for Clustering with Fairness Constraints

https://github.com/sgiddens/SAFES

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SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI

https://github.com/shaier/personalized_medicine_challenges

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Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems

https://github.com/sharif-ml-lab/evals

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Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation

https://github.com/shawkui/mp_fair_regression

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Mean Parity Fair Regression in RKHS

https://github.com/shawmask/debiasingcongater

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Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters

https://github.com/shawnye2000/creagent

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CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry

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