Papers with Code 아카이브

Fairness

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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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/xmpuspus/parity-fairness

Mitigating Unwanted Biases with Adversarial Learning

https://github.com/xygaog/cgc

Graph Condensation: A Survey

https://github.com/ychnlgy/Chebyshev-Lagrange

The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech

https://github.com/yclavinas/ai_big_data_quantum_compution

On the (im)possibility of fairness

https://github.com/ydhcg-bobo/stcmot

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/yevgeni-integrate-ai/vfae

Iterative Orthogonal Feature Projection for Diagnosing Bias in Black-Box Models

https://github.com/yiskw713/scorecam

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

https://github.com/yixinyang69/newfedem

Federated Multi-Task Learning under a Mixture of Distributions

https://github.com/yuhangchen0/fedheal

Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity

https://github.com/yunhao-tech/Counterfactual-Fairness

Counterfactual Fairness

https://github.com/yuziheusc/fair_linear

Learning Fair and Interpretable Representations via Linear Orthogonalization

https://github.com/zengwbz/Face-Tracking-usingFairMOT

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/zli12321/videohallu

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges

https://github.com/zykls/whynot

Delayed Impact of Fair Machine Learning

https://huggingface.co/lion-ai/MedImageInsights

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging

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