Papers with Code 아카이브

Fairness

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하위 태스크

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평가표

9

보존된 평가 기록

10

코드

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

https://github.com/xuchen0427/ltp-mmf

공식 코드

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops

https://github.com/xuchen0427/p-mmf

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P-MMF: Provider Max-min Fairness Re-ranking in Recommender System

https://github.com/xuchen0427/tax-rank

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A Taxation Perspective for Fair Re-ranking

https://github.com/xudongolivershen/2021-fair-representation

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Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks

https://github.com/xugezheng/bggn

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Intersectional Unfairness Discovery

https://github.com/xugezheng/fams

공식 코드

On Learning Fairness and Accuracy on Multiple Subgroups

https://github.com/xuqiongkai/ALTER

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ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation

https://github.com/xuran-li/robustfairevaluation

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RobustFair: Adversarial Evaluation through Fairness Confusion Directed Gradient Search

https://github.com/xurong-liang/GetFair

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Hate Speech Detection with Generalizable Target-aware Fairness

https://github.com/xushizhou/compatibility_group_individual_fairness

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On the (In)Compatibility between Group Fairness and Individual Fairness

https://github.com/xushizhou/fair_data_representation

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Fair Data Representation for Machine Learning at the Pareto Frontier

https://github.com/xuyingzhongguo/deepfakeannotations

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Analyzing Fairness in Deepfake Detection With Massively Annotated Databases

https://github.com/xuzikang/fairadabn

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FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification

https://github.com/xweiq/benchmark-graphfairness

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Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark

https://github.com/xygaog/graph-condensation-papers

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Graph Condensation: A Survey

https://github.com/xzhang2523/libmoon

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LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch

https://github.com/yamagishi0824/kvc-dualnet

공식 코드

KVC-onGoing: Keystroke Verification Challenge

https://github.com/yamanalab/ec-darkpattern

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Dark patterns in e-commerce: a dataset and its baseline evaluations

https://github.com/yaochenzhu/psf-vae

공식 코드

Path-Specific Counterfactual Fairness for Recommender Systems

https://github.com/yaorong0921/hxai-survey

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Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations

https://github.com/yaorujing/data-optimization

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Data Optimization in Deep Learning: A Survey

https://github.com/yaoweihu/achieving-long-term-fairness

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Achieving Long-Term Fairness in Sequential Decision Making

https://github.com/yaoweihu/fairness-in-rl

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Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning

https://github.com/yaoweihu/generative-models-for-fairness

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Long-Term Fair Decision Making through Deep Generative Models

https://github.com/yasdel/benchmark_recllm_fairness

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Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency

https://github.com/yasdel/chatgpt-fairxai

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Fairness of ChatGPT and the Role Of Explainable-Guided Prompts

https://github.com/yasdel/fairnessrecsys_survey2023

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Fairness in Recommender Systems: Research Landscape and Future Directions

https://github.com/yazdanimehdi/Distraction_Fairness

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Distraction is All You Need for Fairness

https://github.com/yazdanimehdi/fairbinn

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Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium

https://github.com/ydu0117/reconfairness

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Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction

https://github.com/yfwang2021/itfr

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Intersectional Two-sided Fairness in Recommendation

https://github.com/yfzhang114/llava-align

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Debiasing Multimodal Large Language Models

https://github.com/yhwang1990/code-bsm-release

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Balancing Utility and Fairness in Submodular Maximization (Technical Report)

https://github.com/yhwang1990/code-fdm

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Streaming Algorithms for Diversity Maximization with Fairness Constraints

https://github.com/yhzhu99/m3fair

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M$^3$Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method

https://github.com/yifankevin/adaptive_data_debiasing

공식 코드

Adaptive Data Debiasing through Bounded Exploration

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