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
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu, Zhe Gan 외 5명
arXiv (Cornell University)
|
2016
|
372 회 인용
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
Patryk Chrabąszcz, Ilya Loshchilov 외 1명
arXiv (Cornell University)
|
2017
|
371 회 인용
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer, Axel Pinz 외 1명
arXiv (Cornell University)
|
2016
|
371 회 인용
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium
Martin Heusel, Hubert Ramsauer 외 4명
arXiv (Cornell University)
|
2017
|
371 회 인용
InfoVAE: Information Maximizing Variational Autoencoders
Shengjia Zhao, Jiaming Song 외 1명
arXiv (Cornell University)
|
2017
|
371 회 인용
Robustness May Be at Odds with Accuracy
Dimitris Tsipras, Shibani Santurkar 외 3명
arXiv (Cornell University)
|
2018
|
371 회 인용
Toolformer: Language Models Can Teach Themselves to Use Tools
Timo Schick, Jane Dwivedi-Yu 외 6명
arXiv (Cornell University)
|
2023
|
370 회 인용
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu, Camille Couprie 외 1명
arXiv (Cornell University)
|
2015
|
369 회 인용
Explain Images with Multimodal Recurrent Neural Networks
Junhua Mao, Wei Xu 외 3명
arXiv (Cornell University)
|
2014
|
369 회 인용
Generative Adversarial Imitation Learning
Jonathan Ho, Stefano Ermon
arXiv (Cornell University)
|
2016
|
369 회 인용
107
108
109
110
111
