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Social Sciences 論文レビュー
Social Sciences 分野の主要論文を動機・手法・結果に構造化した AI 論文レビュー一覧です。
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AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Rachel Bellamy, Kuntal Dey, +16
arXiv (Cornell University)
|
2018
|
265 citations
On the (im)possibility of fairness
Sorelle A. Friedler, Carlos Scheidegger, +1
arXiv (Cornell University)
|
2016
|
263 citations
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
Natasha Jaques, Angeliki Lazaridou, +6
arXiv (Cornell University)
|
2018
|
262 citations
The RooFit toolkit for data modeling
W. Verkerke, D. Kirkby
ArXiv.org
|
2003
|
258 citations
Transforming student learning with classroom communication systems
Ian D. Beatty
ArXiv.org
|
2005
|
256 citations
Contextual Bandits with Similarity Information
Aleksandrs Slivkins
arXiv (Cornell University)
|
2009
|
255 citations
Complexity of Mechanism Design
Vincent Conitzer, Tüomas Sandholm
arXiv (Cornell University)
|
2002
|
249 citations
Mean Field Multi-Agent Reinforcement Learning
Yaodong Yang, Rui Luo, +4
arXiv (Cornell University)
|
2018
|
246 citations
MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech
Emna Rejaibi, Ali Komaty, +3
arXiv (Cornell University)
|
2019
|
246 citations
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband, Dan Russo, +1
arXiv (Cornell University)
|
2013
|
246 citations
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