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
Learning the Structure of Dynamic Probabilistic Networks
Nir Friedman, Kevin J. Murphy 외 1명
arXiv (Cornell University)
|
2013
|
571 회 인용
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar, Razvan Pascanu 외 2명
arXiv (Cornell University)
|
2014
|
571 회 인용
Coexistence of Coherence and Incoherence in Nonlocally Coupled Phase Oscillators
Yoshiki Kuramoto, Dorjsuren Battogtokh
arXiv (Cornell University)
|
2002
|
567 회 인용
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks, Norman Mu 외 4명
arXiv (Cornell University)
|
2019
|
566 회 인용
Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James T. Wilson 외 3명
arXiv (Cornell University)
|
2015
|
565 회 인용
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li 외 4명
arXiv (Cornell University)
|
2018
|
565 회 인용
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke 외 3명
arXiv (Cornell University)
|
2015
|
564 회 인용
Optimal Distributed Online Prediction using Mini-Batches
Ofer Dekel, Ran Gilad-Bachrach 외 2명
arXiv (Cornell University)
|
2010
|
563 회 인용
Quantum algorithms for supervised and unsupervised machine learning
Seth Lloyd, Masoud Mohseni 외 1명
arXiv (Cornell University)
|
2013
|
563 회 인용
SIoU Loss: More Powerful Learning for Bounding Box Regression
Zhora Gevorgyan
arXiv (Cornell University)
|
2022
|
563 회 인용
64
65
66
67
68
