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
Light-Weight RefineNet for Real-Time Semantic Segmentation
Vladimir Nekrasov, Chunhua Shen 외 1명
arXiv (Cornell University)
|
2018
|
101 회 인용
Linear Segmentation and Segment Significance
Min‐Yen Kan, Judith L. Klavans 외 1명
ArXiv.org
|
1998
|
101 회 인용
Methods of Hierarchical Clustering
Fionn Murtagh, Pedro Contreras
arXiv (Cornell University)
|
2011
|
101 회 인용
Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering
Yu Zhou, Jun Yu 외 2명
arXiv (Cornell University)
|
2017
|
101 회 인용
Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation
Chengyang Li, Dan Song 외 2명
arXiv (Cornell University)
|
2018
|
101 회 인용
No-Regret Reductions for Imitation Learning and Structured Prediction
Stéphane Ross, Geoffrey J. Gordon 외 1명
arXiv (Cornell University)
|
2010
|
101 회 인용
Non-Convex Min-Max Optimization: Provable Algorithms and Applications in Machine Learning
Hassan Rafique, Mingrui Liu 외 2명
arXiv (Cornell University)
|
2018
|
101 회 인용
On the optimality of tree-reweighted max-product message-passing
Vladimir Kolmogorov, Martin J. Wainwright
arXiv (Cornell University)
|
2012
|
101 회 인용
Online Meta-Learning
Chelsea Finn, Aravind Rajeswaran 외 2명
arXiv (Cornell University)
|
2019
|
101 회 인용
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration, O'Neill, Abby 외 292명
arXiv (Cornell University)
|
2023
|
101 회 인용
471
472
473
474
475
