Papers with Code 아카이브

Fairness

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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/learninginvision/spu

공식 코드

Self-Paced Deep Regression Forests with Consideration of Ranking Fairness

https://github.com/lebronx/neuro-symbolic-verification

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Neuro-Symbolic Verification of Deep Neural Networks

https://github.com/leehaoyuan/coverage_fairness

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Coverage-based Fairness in Multi-document Summarization

https://github.com/leekezar/semlex

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The Sem-Lex Benchmark: Modeling ASL Signs and Their Phonemes

https://github.com/lei-ding07/conformal_quantile_fairness

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Conformalized Fairness via Quantile Regression

https://github.com/leo02016/fairmvc

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Fairness-aware Multi-view Clustering

https://github.com/lequnwang/fair-two-stage-recommender

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Uncertainty Quantification for Fairness in Two-Stage Recommender Systems

https://github.com/letenothibaud/wasserstein_fair_classification

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Fair Text Classification with Wasserstein Independence

https://github.com/levinhornischer/reasonsmethod

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Explaining Neural Networks with Reasons

https://github.com/lfochamon/pdlmc

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Constrained Sampling with Primal-Dual Langevin Monte Carlo

https://github.com/lh218/fairness-ib

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On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms

https://github.com/liano3/RAG-fairness

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The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation

https://github.com/liaochunyang/DPRFM

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Differentially Private Random Feature Model

https://github.com/liizhang/LoGofair

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LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning

https://github.com/limorigu/pragmaticfairness

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Pragmatic Fairness: Developing Policies with Outcome Disparity Control

https://github.com/lingjuanlv/FPPDL

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Towards Fair and Privacy-Preserving Federated Deep Models

https://github.com/litian96/TERM

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Tilted Empirical Risk Minimization

https://github.com/litian96/ditto

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Ditto: Fair and Robust Federated Learning Through Personalization

https://github.com/litian96/fair_flearn

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Fair Resource Allocation in Federated Learning

https://github.com/littlejuyan/df_fairness

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Improving Fairness in Deepfake Detection

https://github.com/liudan193/Fairness-Benchmark-for-Face-Forgery-Detection

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Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations

https://github.com/lluckyyh/xtrust

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XTRUST: On the Multilingual Trustworthiness of Large Language Models

https://github.com/lodino/crab

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Consistent Range Approximation for Fair Predictive Modeling

https://github.com/logan-stapleton/strategic-instrumental-variable-regression

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Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses

https://github.com/lokhande-vishnu/FairALM

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FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret

https://github.com/longph1989/Socrates

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SOCRATES: Towards a Unified Platform for Neural Network Analysis

https://github.com/louissharrock/constrained-coin-sampling

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Learning Rate Free Sampling in Constrained Domains

https://github.com/lphleo/fairee

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FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee

https://github.com/lt-nlp-lab-unibo/ethical-survey-speech

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Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders Research

https://github.com/lucaoneto/NIPS2019_Fairness

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Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

https://github.com/lucasdelara/PI-Fair

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Transport-based Counterfactual Models

https://github.com/luciagomza/ser_emovome

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EMOVOME: A Dataset for Emotion Recognition in Spontaneous Real-Life Speech

https://github.com/luohongyin/unilc

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Interpretable Unified Language Checking

https://github.com/luorenqiang/fairgp

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FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning

https://github.com/luoyan407/harvard-gf

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Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization

https://github.com/lydiatliu/delayedimpact

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Delayed Impact of Fair Machine Learning

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