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Social Sciences 论文解读
Social Sciences 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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StarCraft II: A New Challenge for Reinforcement Learning
Oriol Vinyals, Timo Ewalds, +23
arXiv (Cornell University)
|
2017
|
683 citations
OpenAI Gym
Greg Brockman, Vicki Cheung, +5
arXiv (Cornell University)
|
2016
|
632 citations
Fake News Detection on Social Media: A Data Mining Perspective
Kai Shu, Amy Sliva, +3
arXiv (Cornell University)
|
2017
|
599 citations
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar, Isabel Valera, +2
arXiv (Cornell University)
|
2016
|
586 citations
Graphical Models for Game Theory
Michael Kearns, Michael L. Littman, +1
arXiv (Cornell University)
|
2013
|
563 citations
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal, Navin Goyal
arXiv (Cornell University)
|
2012
|
547 citations
What Makes for Good Views for Contrastive Learning?
Yonglong Tian, Chen Sun, +4
arXiv (Cornell University)
|
2020
|
527 citations
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, +2
arXiv (Cornell University)
|
2019
|
517 citations
An Introductory Study on Time Series Modeling and Forecasting
Ratnadip Adhikari, R. K. Agrawal
arXiv (Cornell University)
|
2013
|
509 citations
GetDist: a Python package for analysing Monte Carlo samples
Antony Lewis
arXiv (Cornell University)
|
2019
|
508 citations
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