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
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas, Andreas Krause 외 2명
Infoscience (Ecole Polytechnique Fédérale de Lausanne)
|
2009
|
1,049 회 인용
Training data-efficient image transformers & distillation through attention
Hugo Touvron, Cord, Matthieu 외 4명
arXiv (Cornell University)
|
2020
|
1,049 회 인용
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI, : 외 25명
arXiv (Cornell University)
|
2019
|
1,043 회 인용
Person Re-identification: Past, Present and Future
Liang Zheng, Yi Yang 외 1명
arXiv (Cornell University)
|
2016
|
1,038 회 인용
Theano: new features and speed improvements
Frédéric Bastien, Pascal Lamblin 외 7명
arXiv (Cornell University)
|
2012
|
1,038 회 인용
Network In Network
Min Lin, Qiang Chen 외 1명
arXiv (Cornell University)
|
2014
|
1,037 회 인용
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis 외 9명
arXiv (Cornell University)
|
2016
|
1,036 회 인용
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto García-García, Sergio Orts‐Escolano 외 3명
arXiv (Cornell University)
|
2017
|
1,035 회 인용
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont 외 14명
arXiv (Cornell University)
|
2022
|
1,035 회 인용
Deeply-Supervised Nets
Chen‐Yu Lee, Saining Xie 외 3명
arXiv (Cornell University)
|
2014
|
1,034 회 인용
31
32
33
34
35
