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Social Sciences 논문 리뷰
Social Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Rachel Bellamy, Kuntal Dey 외 16명
arXiv (Cornell University)
|
2018
|
265 회 인용
On the (im)possibility of fairness
Sorelle A. Friedler, Carlos Scheidegger 외 1명
arXiv (Cornell University)
|
2016
|
263 회 인용
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
Natasha Jaques, Angeliki Lazaridou 외 6명
arXiv (Cornell University)
|
2018
|
262 회 인용
The RooFit toolkit for data modeling
W. Verkerke, D. Kirkby
ArXiv.org
|
2003
|
258 회 인용
Transforming student learning with classroom communication systems
Ian D. Beatty
ArXiv.org
|
2005
|
256 회 인용
Contextual Bandits with Similarity Information
Aleksandrs Slivkins
arXiv (Cornell University)
|
2009
|
255 회 인용
Complexity of Mechanism Design
Vincent Conitzer, Tüomas Sandholm
arXiv (Cornell University)
|
2002
|
249 회 인용
Mean Field Multi-Agent Reinforcement Learning
Yaodong Yang, Rui Luo 외 4명
arXiv (Cornell University)
|
2018
|
246 회 인용
MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech
Emna Rejaibi, Ali Komaty 외 3명
arXiv (Cornell University)
|
2019
|
246 회 인용
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband, Dan Russo 외 1명
arXiv (Cornell University)
|
2013
|
246 회 인용
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