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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/charliezhaoyinpeng/PDFM
공식 코드https://github.com/chasenorman/verified-encodings-social-choice
공식 코드Impossibility theorems involving weakenings of expansion consistency and resoluteness in voting
https://github.com/che2198/apw
공식 코드Boosting Fair Classifier Generalization through Adaptive Priority Reweighing
https://github.com/chenli-lab/RL-Fairness
공식 코드https://github.com/chenw20/biasscore
공식 코드https://github.com/chenzhenpeng18/biasmitigationstudy
공식 코드A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers
https://github.com/chenzhenpeng18/icse24-multi-attribute-fairness
공식 코드Fairness Improvement with Multiple Protected Attributes: How Far Are We?
https://github.com/chenzhenpeng18/tosem23-biasmitigationstudy
공식 코드A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers
https://github.com/chingyaoc/fair-mixup
공식 코드https://github.com/chirag126/nifty
공식 코드Towards a Unified Framework for Fair and Stable Graph Representation Learning
https://github.com/chiuhaohao/AttEN
공식 코드Achieve Fairness without Demographics for Dermatological Disease Diagnosis
https://github.com/chnq/dean
공식 코드https://github.com/chnq/tracingllm
공식 코드Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
https://github.com/christian-igel/smm
공식 코드https://github.com/cj-public/paper-code-flsim-testbed
공식 코드IronForge: An Open, Secure, Fair, Decentralized Federated Learning
https://github.com/cjw2525/fairrec
공식 코드https://github.com/ckaestne/seai
공식 코드https://github.com/ckyang1124/lalm-evaluation-survey
공식 코드Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey
https://github.com/ckyang1124/sakura
공식 코드https://github.com/clararus/debias-embeddings-recruitment
공식 코드Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation
https://github.com/clear-nus/scales
공식 코드SCALES: From Fairness Principles to Constrained Decision-Making
https://github.com/cleolotta/fair-and-private-lm
공식 코드Trade-Offs Between Fairness and Privacy in Language Modeling
https://github.com/cleverhans-lab/capc-iclr
공식 코드CaPC Learning: Confidential and Private Collaborative Learning
https://github.com/clovaai/generative-evaluation-prdc
공식 코드https://github.com/clwan/BIND
공식 코드Denoising individual bias for a fairer binary submatrix detection
https://github.com/cmu-soda/fairsense
공식 코드FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
https://github.com/coastalcph/fairlex
공식 코드FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing
https://github.com/coastalcph/gender-neutral-vl
공식 코드Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
https://github.com/coastalcph/mozart
공식 코드Are Pretrained Multilingual Models Equally Fair Across Languages?
https://github.com/codestar12/pruning-distilation-bias
공식 코드Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation
https://github.com/cohortshapley/cohortshapley
공식 코드https://github.com/coldchair/cpret
공식 코드CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming
https://github.com/columbia/alibaba-dp-workload
공식 코드https://github.com/columbia/dpack
공식 코드https://github.com/columbia/privatekube
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.