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
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael B. Chang, Tomer Ullman 외 2명
arXiv (Cornell University)
|
2016
|
169 회 인용
A ConvNet for the 2020s
Zhuang Liu, Hanzi Mao 외 4명
arXiv (Cornell University)
|
2022
|
169 회 인용
Adversarial Attack on Graph Structured Data
Hanjun Dai, Hui Li 외 5명
arXiv (Cornell University)
|
2018
|
169 회 인용
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Roman Novak, Lechao Xiao 외 7명
arXiv (Cornell University)
|
2018
|
169 회 인용
Differential Privacy-enabled Federated Learning for Sensitive Health Data
Olivia Choudhury, Aris Gkoulalas-Divanis 외 5명
arXiv (Cornell University)
|
2019
|
169 회 인용
Distribution Matching for Crowd Counting
Boyu Wang, Huidong Liu 외 2명
arXiv (Cornell University)
|
2020
|
169 회 인용
Dpraodv: A Dyanamic Learning System Against Blackhole Attack in Aodv Based Manet
Payal N. Raj, Prashant B. Swadas
ArXiv.org
|
2009
|
169 회 인용
EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding
Yajie Miao, Mohammad Gowayyed 외 1명
arXiv (Cornell University)
|
2015
|
169 회 인용
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods
Dylan Slack, Sophie Hilgard 외 3명
arXiv (Cornell University)
|
2019
|
169 회 인용
GraphCast: Learning skillful medium-range global weather forecasting
Rémi Lam, Álvaro Sánchez‐González 외 16명
arXiv (Cornell University)
|
2022
|
169 회 인용
270
271
272
273
274
