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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/tina-behzad/reconciliation-project

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Reconciling Predictive Multiplicity in Practice

https://github.com/tinfoilhat0/fairness-robustness-in-fedlearning

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The Impact of Data Distribution on Fairness and Robustness in Federated Learning

https://github.com/tizpaz/parfait-ml

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Fairness-aware Configuration of Machine Learning Libraries

https://github.com/tkalbl/revisitingskintonefairness

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Revisiting Skin Tone Fairness in Dermatological Lesion Classification

https://github.com/tl-system/plato

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Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning

https://github.com/tleemann/protectedconsent

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I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data

https://github.com/tliu1997/arnpg-morl

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Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning

https://github.com/tmylla/Persafety

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The Better Angels of Machine Personality: How Personality Relates to LLM Safety

https://github.com/tnurbek/shapfed

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Redefining Contributions: Shapley-Driven Federated Learning

https://github.com/tnyuzg/fairzk

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FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge

https://github.com/tobinsouth/verifiableevals

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Verifiable evaluations of machine learning models using zkSNARKs

https://github.com/tommy1019/AltECC

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Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges

https://github.com/tonyhrule/queer-bias-llms

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Mitigating Bias in Queer Representation within Large Language Models: A Collaborative Agent Approach

https://github.com/torchssl/torchssl

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FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

https://github.com/tridungduong16/counterfactual_fairness_game_theoretic

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Achieving Counterfactual Fairness with Imperfect Structural Causal Model

https://github.com/tvseg/dmoe

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Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective

https://github.com/twitter-research/double-corrected-variance-estimator

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De-biasing "bias" measurement

https://github.com/twitter-research/image-crop-analysis

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Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

https://github.com/twuilliam/bias-classifiers

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Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias

https://github.com/txsun1997/metric-fairness

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BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation

https://github.com/uark-cviu/fredom

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FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding

https://github.com/ubc-tea/Improving-Fairness-in-Image-Classification-via-Sketching

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Improving Fairness in Image Classification via Sketching

https://github.com/ubc-tea/dne-foundation-model-fairness

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Debiased Noise Editing on Foundation Models for Fair Medical Image Classification

https://github.com/ubc-tea/fcro-fair-classification-orthogonal-representation

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On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations

https://github.com/ucb-bar/moca

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MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks

https://github.com/ucinlp/unstereo-eval

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Are Models Biased on Text without Gender-related Language?

https://github.com/ucla-starai/pc-discriminationpatterns

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Certifying Fairness of Probabilistic Circuits

https://github.com/ucla-trustworthy-ai-lab/fairrr

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FairRR: Pre-Processing for Group Fairness through Randomized Response

https://github.com/uclanlp/biases-llm-reference-letters

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"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters

https://github.com/uclanlp/fact-or-fair

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Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related Queries

https://github.com/ucr-optml/autobalance

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AutoBalance: Optimized Loss Functions for Imbalanced Data

https://github.com/ucsb-nlp-chang/fairness-reprogramming

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Fairness Reprogramming

https://github.com/ucsc-real/canlessbemore

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Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial

https://github.com/ucsc-real/disparate-ssl

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The Rich Get Richer: Disparate Impact of Semi-Supervised Learning

https://github.com/ucsc-real/fair-eval

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Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes

https://github.com/ucsc-real/fairinfl

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Understanding Instance-Level Impact of Fairness Constraints

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