Papers with Code 아카이브

Fairness

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

9

보존된 평가 기록

10

코드

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

https://github.com/metunlp/openethics

공식 코드

OpenEthics: A Comprehensive Ethical Evaluation of Open-Source Generative Large Language Models

https://github.com/mhmoslemi2338/CaliFair-EM

공식 코드

Threshold-Independent Fair Matching through Score Calibration

https://github.com/mhmoslemi2338/pre-EM-bias

공식 코드

Evaluating Blocking Biases in Entity Matching

https://github.com/mhmoslemi2338/sigmod-FAIR-EM-post-process

공식 코드

Reducing Biases in Record Matching Through Scores Calibration

https://github.com/mi2datalab/limecraft

공식 코드

LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations

https://github.com/mianzg/kgbiasdetec

공식 코드

Towards Automatic Bias Detection in Knowledge Graphs

https://github.com/michaelchristopherhunter/dronesurvey2023

공식 코드

Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations

https://github.com/michaelsaxon/disclosive-transparency

공식 코드

Modeling Disclosive Transparency in NLP Application Descriptions

https://github.com/microsoft/semi-supervised-learning

공식 코드

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

https://github.com/midas-research/gantouch-tbiom

공식 코드

GANTouch: An Attack-Resilient Framework for Touch-based Continuous Authentication System

https://github.com/mikelasz/benchmarking-fairness-imageupsampling

공식 코드

Benchmarking the Fairness of Image Upsampling Methods

https://github.com/milanlproc/interpretability-mt-gender-bias

공식 코드

A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation

https://github.com/mingsun-tse/why-the-state-of-pruning-so-confusing

공식 코드

Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning

https://github.com/mireshghallah/style-pooling

공식 코드

Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness

https://github.com/mitao-cat/icml24_mcdp

공식 코드

On the Maximal Local Disparity of Fairness-Aware Classifiers

https://github.com/mitmedialab/powerful_names

공식 코드

Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality

https://github.com/mjusup1501/mf-vehicle-rebalancing

공식 코드

Scalable Ride-Sourcing Vehicle Rebalancing with Service Accessibility Guarantee: A Constrained Mean-Field Reinforcement Learning Approach

https://github.com/mkduong-ai/fairdo

공식 코드

Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes

https://github.com/mkduong-ai/fairness-uncertainty-score

공식 코드

(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers

https://github.com/mkhodak/SureMap

공식 코드

SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluation

https://github.com/ml-jku/disparate-benefits

공식 코드

The Disparate Benefits of Deep Ensembles

https://github.com/ml-research/fair-diffusion

공식 코드

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

https://github.com/mlcl-sysu/faircmab-delays

공식 코드

Merit-based Fair Combinatorial Semi-Bandit with Unrestricted Feedback Delays

https://github.com/mlforhealth/cxr_fairness

공식 코드

Improving the Fairness of Chest X-ray Classifiers

https://github.com/mlohaus/disparatetreatment

공식 코드

Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks

https://github.com/mlr-org/mlr3summary

공식 코드

mlr3summary: Concise and interpretable summaries for machine learning models

https://github.com/mlsquare/mlsquare

공식 코드

A Framework for Democratizing AI

https://github.com/mmcdermott/auc_is_all_you_need

공식 코드

A Closer Look at AUROC and AUPRC under Class Imbalance

https://github.com/mnswdhw/pfsl

공식 코드

PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients

https://github.com/modar7/the_fairness_stitch

공식 코드

The Fairness Stitch: Unveiling the Potential of Model Stitching in Neural Network De-Biasing

https://github.com/modeloriented/fairpan

공식 코드

fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation

https://github.com/mohitsharma29/comparision_data_bias_fairness

공식 코드

On Comparing Fair Classifiers under Data Bias

https://github.com/molfat66/FairML

공식 코드

Convex Formulations for Fair Principal Component Analysis

https://github.com/moonin12/improved_fair_correlation_clustering

공식 코드

Improved Approximation for Fair Correlation Clustering

https://github.com/moreno98/gradbias

공식 코드

GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models

https://github.com/moreno98/vision-language-bias-control

공식 코드

Improving Fairness using Vision-Language Driven Image Augmentation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.