Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Computer Science
Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
전체
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
필터
9999+개의 결과
Addressing the Rare Word Problem in Neural Machine Translation
Minh-Thang Luong, Ilya Sutskever 외 3명
arXiv (Cornell University)
|
2014
|
107 회 인용
Bottom-up Object Detection by Grouping Extreme and Center Points
Xingyi Zhou, Jiacheng Zhuo 외 1명
arXiv (Cornell University)
|
2019
|
107 회 인용
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang, Cheng Chi 외 3명
arXiv (Cornell University)
|
2019
|
107 회 인용
ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
Mostapha Benhenda
arXiv (Cornell University)
|
2017
|
107 회 인용
Context-Dependent Fine-Grained Entity Type Tagging
Dan Gillick, Nevena Lazic 외 3명
arXiv (Cornell University)
|
2014
|
107 회 인용
Decentralized Trusted Timestamping using the Crypto Currency Bitcoin
Béla Gipp, Norman Meuschke 외 1명
arXiv (Cornell University)
|
2015
|
107 회 인용
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou, Janice Lan 외 2명
arXiv (Cornell University)
|
2019
|
107 회 인용
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features
Naveen Sai Madiraju, Seid M. Sadat 외 2명
arXiv (Cornell University)
|
2018
|
107 회 인용
DeepGCNs: Can GCNs Go as Deep as CNNs?
Guohao Li, Matthias Müller 외 2명
arXiv (Cornell University)
|
2019
|
107 회 인용
Detailed comparison of communication efficiency of split learning and federated learning
Abhishek Singh, Praneeth Vepakomma 외 2명
arXiv (Cornell University)
|
2019
|
107 회 인용
442
443
444
445
446
