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
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Mikayel Samvelyan 외 4명
arXiv (Cornell University)
|
2020
|
429 회 인용
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
Stephen Hardy, Wilko Henecka 외 5명
arXiv (Cornell University)
|
2017
|
429 회 인용
The JRC-Acquis: A multilingual aligned parallel corpus with 20+ languages
Ralf Steinberger, Bruno Pouliquen 외 5명
ArXiv.org
|
2006
|
429 회 인용
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou, Daniel C. Castro 외 2명
arXiv (Cornell University)
|
2019
|
428 회 인용
Unsupervised Cross-Domain Image Generation
Yaniv Taigman, Adam Polyak 외 1명
arXiv (Cornell University)
|
2016
|
428 회 인용
Well-Read Students Learn Better: On the Importance of Pre-training Compact Models
Iulia Turc, Ming‐Wei Chang 외 2명
arXiv (Cornell University)
|
2019
|
428 회 인용
A Survey of Attacks, Security Mechanisms and Challenges in Wireless Sensor Networks
G. Padmavathi, D. Shanmugapriya
ArXiv.org
|
2009
|
427 회 인용
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel, Joseph Modayil 외 8명
arXiv (Cornell University)
|
2017
|
427 회 인용
Deep Speaker: an End-to-End Neural Speaker Embedding System
Chao Li, Xiaokong Ma 외 7명
arXiv (Cornell University)
|
2017
|
426 회 인용
GANSpace: Discovering Interpretable GAN Controls
Erik Härkönen, Aaron Hertzmann 외 2명
arXiv (Cornell University)
|
2020
|
425 회 인용
91
92
93
94
95
