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TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property
TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property
Arxiv
0+阅读 · 4月2日
FairDAG: Consensus Fairness over Concurrent Causal Design
FairDAG: Consensus Fairness over Concurrent Causal Design
Arxiv
0+阅读 · 4月3日
The Author Is Sovereign: A Manifesto for Ethical Copyright in the Age of AI
Arxiv
0+阅读 · 4月3日
Asymmetric Number Partitioning with Splitting and Interval Targets
Asymmetric Number Partitioning with Splitting and Interval Targets
Arxiv
0+阅读 · 4月3日
LEACE: Perfect linear concept erasure in closed form
Arxiv
0+阅读 · 4月3日
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
Arxiv
0+阅读 · 4月3日
Reducing Differential Item Functioning via Process Data
Arxiv
0+阅读 · 3月31日
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias
Arxiv
0+阅读 · 4月2日
FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations
FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations
Arxiv
0+阅读 · 4月2日
Unfair Learning: GenAI Exceptionalism and Copyright Law
Arxiv
0+阅读 · 4月1日
Remember, but also, Forget: Bridging Myopic and Perfect Recall Fairness with Past-Discounting
Arxiv
0+阅读 · 4月1日
Random matching in balanced bipartite graphs: The (un)fairness of draw mechanisms used in sports
Arxiv
0+阅读 · 4月1日
Fair Dynamic Spectrum Access via Fully Decentralized Multi-Agent Reinforcement Learning
Arxiv
0+阅读 · 3月31日
A Comparison among Single Carrier, OFDM, and OTFS in mmWave Multi-Connectivity Downlink Transmissions
Arxiv
0+阅读 · 3月31日
Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems
Arxiv
0+阅读 · 3月29日
参考链接
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人工智能技术研究层
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Google DeepMind
Microsoft Research
微软亚洲研究院
Tencent AI Lab
Institute of Deep Learning
Google Brain
OpenAI
Alibaba IDST
Facebook AI Research
IBM Waston
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