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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
A Warm Welcome Matters! The Link Between Social Feedback and Weight Loss in /r/loseit
Tiago Oliveira Cunha, Ingmar Weber 외 1명
arXiv (Cornell University)
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2017
|
9 회 인용
Achieving All with No Parameters: Adaptive NormalHedge
Haipeng Luo, Robert E. Schapire
arXiv (Cornell University)
|
2015
|
9 회 인용
Adaptive Discretization for Model-Based Reinforcement Learning
Sean R. Sinclair, Tianyu Wang 외 3명
arXiv (Cornell University)
|
2020
|
9 회 인용
Adaptive Influence Maximization in Social Networks: Why Commit when You can Adapt?
Sharan Vaswani, Laks V. S. Lakshmanan
arXiv (Cornell University)
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2016
|
9 회 인용
Adaptive Monte Carlo via Bandit Allocation
James Neufeld, András György 외 2명
arXiv (Cornell University)
|
2014
|
9 회 인용
Adaptive time-stepping for Stochastic Partial Differential Equations with non-Lipschitz drift
Stuart Campbell, Gabriel J. Lord
arXiv (Cornell University)
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2018
|
9 회 인용
Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
Rachel Cummings, Damien Desfontaines 외 22명
arXiv (Cornell University)
|
2023
|
9 회 인용
Advancing Transformative Education: Generative AI as a Catalyst for Equity and Innovation
Chiranjeevi Bura, Praveen Kumar Myakala
arXiv (Cornell University)
|
2024
|
9 회 인용
Adversarial Attacks on Machine Learning Systems for High-Frequency Trading
Micah Goldblum, Avi Schwarzschild 외 2명
RePEc: Research Papers in Economics
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2020
|
9 회 인용
Adversarial Stochastic Shortest Path.
Aviv Rosenberg, Yishay Mansour
arXiv (Cornell University)
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2020
|
9 회 인용
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