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
CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
Yisroel Mirsky, Tom Mahler 외 2명
arXiv (Cornell University)
|
2019
|
108 회 인용
Data Mining : A prediction of performer or underperformer using classification
Umesh Kumar Pandey, Saurabh Pal
arXiv (Cornell University)
|
2011
|
108 회 인용
Deep Nearest Neighbor Anomaly Detection
Liron Bergman, Niv Cohen 외 1명
arXiv (Cornell University)
|
2020
|
108 회 인용
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
Wenhan Xiong, Thien Hoang 외 1명
arXiv (Cornell University)
|
2017
|
108 회 인용
Distributed Learning with Compressed Gradient Differences
Konstantin Mishchenko, Eduard Gorbunov 외 2명
arXiv (Cornell University)
|
2019
|
108 회 인용
Do Social Bots Dream of Electric Sheep? A Categorisation of Social Media Bot Accounts
Stefan Stieglitz, Florian Brachten 외 2명
arXiv (Cornell University)
|
2017
|
108 회 인용
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li 외 4명
arXiv (Cornell University)
|
2022
|
108 회 인용
Dynamic Word Embeddings
Robert Bamler, Stephan Mandt
arXiv (Cornell University)
|
2017
|
108 회 인용
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Mahyar Fazlyab, Alexander Robey 외 3명
arXiv (Cornell University)
|
2019
|
108 회 인용
Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris 외 1명
arXiv (Cornell University)
|
2019
|
108 회 인용
437
438
439
440
441