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