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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Architectural Blueprints: The 4+1 View Model of Software Architecture
Philippe Kruchten
arXiv (Cornell University)
|
2020
|
172 회 인용
Causal Discovery from a Mixture of Experimental and Observational Data
Gregory F. Cooper, Changwon Yoo
arXiv (Cornell University)
|
2013
|
172 회 인용
Challenges and Applications of Large Language Models
Jean Kaddour, Joshua Harris 외 4명
arXiv (Cornell University)
|
2023
|
172 회 인용
Control of Memory, Active Perception, and Action in Minecraft
Junhyuk Oh, Valliappa Chockalingam 외 2명
arXiv (Cornell University)
|
2016
|
172 회 인용
Cross-Lingual Ability of Multilingual BERT: An Empirical Study
K Karthikeyan, Zihan Wang 외 2명
arXiv (Cornell University)
|
2019
|
172 회 인용
Dopamine: A Research Framework for Deep Reinforcement Learning
Pablo Samuel Castro, Subhodeep Moitra 외 3명
arXiv (Cornell University)
|
2018
|
172 회 인용
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu, Yuanzhi Li 외 1명
arXiv (Cornell University)
|
2018
|
172 회 인용
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu, Takeru Miyato 외 3명
arXiv (Cornell University)
|
2017
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172 회 인용
MLPerf Training Benchmark
Peter Mattson, Christine Cheng 외 35명
arXiv (Cornell University)
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2019
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172 회 인용
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
Edgar Galván, Peter Mooney
arXiv (Cornell University)
|
2020
|
172 회 인용
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