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/kddubey/pretrain-on-test

공식 코드

Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification

https://github.com/kdl-umass/xai-interventional-robustness

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Measuring Interventional Robustness in Reinforcement Learning

https://github.com/kenziyuliu/lora-fairness

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On Fairness of Low-Rank Adaptation of Large Models

https://github.com/kevinwebster/Illusion_of_Neutrality

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Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening

https://github.com/kevinyaobytedance/llm_eval

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Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

https://github.com/khalilimahdi/loss_balancing_icml2023

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Loss Balancing for Fair Supervised Learning

https://github.com/khtae8250/SliceTuner

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Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models

https://github.com/khtae8250/falcon

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Falcon: Fair Active Learning using Multi-armed Bandits

https://github.com/khtae8250/iflipper

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iFlipper: Label Flipping for Individual Fairness

https://github.com/khyatikhandelwal/indian-llms-bias

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Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language Models

https://github.com/kid-22/llm-ir-bias-fairness-survey

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Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

https://github.com/kimdanny/fair-rag

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Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation

https://github.com/koyejolab/qme

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Quadratic Metric Elicitation for Fairness and Beyond

https://github.com/kozodoi/Fair_Credit_Scoring

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Fairness in Credit Scoring: Assessment, Implementation and Profit Implications

https://github.com/kpdonahue/human_algorithm_collaboration

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Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness

https://github.com/kqp1227/sensitive-channel-pruning

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Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis

https://github.com/krishnacharya/sequentialrec-fairness

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Improving Minimax Group Fairness in Sequential Recommendation

https://github.com/ksasi/fairDL

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On Biased Behavior of GANs for Face Verification

https://github.com/ksreenivasan/OOD_Federated_Learning

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Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

https://github.com/kstanghere/gendercare-ccs24

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GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models

https://github.com/kuleens/vlmbiaseval

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debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias

https://github.com/kvarys/HAVA

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HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning

https://github.com/kwangho-joshua-kim/fair-robust-HTE

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Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning

https://github.com/kwkimonline/SLIDE

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SLIDE: a surrogate fairness constraint to ensure fairness consistency

https://github.com/kwkimonline/ftm

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Fairness Through Matching

https://github.com/kwkimonline/sipm-lfr

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Learning fair representation with a parametric integral probability metric

https://github.com/lacava/fair_gp

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Genetic programming approaches to learning fair classifiers

https://github.com/lacava/feat

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Genetic programming approaches to learning fair classifiers

https://github.com/laclauc/fairness-graph

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A Survey on Fairness for Machine Learning on Graphs

https://github.com/lasilab/inequity-bounds

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Auditing Fairness under Unobserved Confounding

https://github.com/lassehhansen/arxiv-search

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A Closer Look at AUROC and AUPRC under Class Imbalance

https://github.com/laudv/treeck

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Verifying Tree Ensembles by Reasoning about Potential Instances

https://github.com/laudv/veritas

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Versatile Verification of Tree Ensembles

https://github.com/lavinwong/fairness-in-large-language-models

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Fairness Definitions in Language Models Explained

https://github.com/layer6ai-labs/conformal-prediction-fairness

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Conformal Prediction Sets Can Cause Disparate Impact

https://github.com/layer6ai-labs/fair-dp

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Disparate Impact in Differential Privacy from Gradient Misalignment

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