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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/veri-q/fairness

공식 코드

Verifying Fairness in Quantum Machine Learning

https://github.com/verified-intelligence/auto_lirpa

공식 코드

Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation

https://github.com/versusdebias/versusdebias

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VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary

https://github.com/victorcroisfelt/rand-kaczmarz-alg-for-mmimo

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Randomized Kaczmarz Algorithm for Massive MIMO Systems with Channel Estimation and Spatial Correlation

https://github.com/vijaykeswani/Deferral-To-Multiple-Experts

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Towards Unbiased and Accurate Deferral to Multiple Experts

https://github.com/vijaykeswani/Fair-Max-Entropy-Distributions

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Data preprocessing to mitigate bias: A maximum entropy based approach

https://github.com/vijaykeswani/fair-classification-with-partial-feedback

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Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach

https://github.com/viktorvaladi/fedval

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FedVal: Different good or different bad in federated learning

https://github.com/vios-s/bmft

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BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning

https://github.com/volesen/slicing-through-bias

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Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods

https://github.com/vollmer-lab/survival_fairness

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Flexible Group Fairness Metrics for Survival Analysis

https://github.com/vpetren/fair_dp

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The Impact of Differential Privacy on Group Disparity Mitigation

https://github.com/vsahil/influence-duplicate

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Removing biased data to improve fairness and accuracy

https://github.com/vschiniah/ArXiv_Recommendation_Research

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User-item fairness tradeoffs in recommendations

https://github.com/wahab1412/housing_fairness

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Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises

https://github.com/wallacesui/kdd25-background-variable

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Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems

https://github.com/wanghelin1997/aty-tts

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Improving fairness for spoken language understanding in atypical speech with Text-to-Speech

https://github.com/wangyongjie-ntu/cemsp

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Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations

https://github.com/watermeleon/RL_for_imbalanced_classification

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Balancing the Scales: Reinforcement Learning for Fair Classification

https://github.com/watml/fed-mgda

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Federated Learning Meets Multi-objective Optimization

https://github.com/waving7799/expga

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Explanation-Guided Fairness Testing through Genetic Algorithm

https://github.com/wearepal/missing-sources

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Addressing Missing Sources with Adversarial Support-Matching

https://github.com/wecarsoniv/augmented-pca

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AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models

https://github.com/weitianxin/CLOVER

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Comprehensive Fair Meta-learned Recommender System

https://github.com/weitianxin/HyperGCL

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Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative

https://github.com/weixin-liang/chatgpt-detector-bias

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GPT detectors are biased against non-native English writers

https://github.com/weixin-liang/modality-gap

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Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning

https://github.com/weixinchen98/fmmrec

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Causality-Inspired Fair Representation Learning for Multimodal Recommendation

https://github.com/wellzline/trustworthy_t2i_dms

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Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey

https://github.com/wenjiewwj/ucrs

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User-controllable Recommendation Against Filter Bubbles

https://github.com/wenjing1170/llm_grader

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Grade Like a Human: Rethinking Automated Assessment with Large Language Models

https://github.com/wenkehuang/marsfl

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Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

https://github.com/wenluvalor/arp-marp

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Incentive-Aware Recommender Systems in Two-Sided Markets

https://github.com/wenshuoguo/robust-fairness-code

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Robust Optimization for Fairness with Noisy Protected Groups

https://github.com/wenyi-li/fairdiff

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FairDiff: Fair Segmentation with Point-Image Diffusion

https://github.com/wenyueh/latency_optimization_with_priority_constraints

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Semantic Scheduling for LLM Inference

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