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
Space-Time Correspondence as a Contrastive Random Walk
Allan Jabri, Andrew Owens 외 1명
arXiv (Cornell University)
|
2020
|
116 회 인용
Structured Neural Summarization
Patrick Fernandes, Miltiadis Allamanis 외 1명
arXiv (Cornell University)
|
2018
|
116 회 인용
TransA: An Adaptive Approach for Knowledge Graph Embedding
Han Xiao, Minlie Huang 외 2명
arXiv (Cornell University)
|
2015
|
116 회 인용
TruthfulQA: Measuring How Models Mimic Human Falsehoods
Stephanie Lin, Jacob Hilton 외 1명
arXiv (Cornell University)
|
2021
|
116 회 인용
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View
Yiping Lu, Zhuohan Li 외 6명
arXiv (Cornell University)
|
2019
|
116 회 인용
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie, Ross Girshick 외 1명
arXiv (Cornell University)
|
2015
|
116 회 인용
A Bayesian Approach to Tackling Hard Computational Problems
Eric Horvitz, Yongshao Ruan 외 4명
arXiv (Cornell University)
|
2013
|
115 회 인용
A Comprehensive Study of Deep Video Action Recognition
Yi Zhu, Xinyu Li 외 8명
arXiv (Cornell University)
|
2020
|
115 회 인용
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition
Salman Khan, Munawar Hayat 외 3명
arXiv (Cornell University)
|
2015
|
115 회 인용
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
M. Fraccaro, Simon Kamronn 외 2명
arXiv (Cornell University)
|
2017
|
115 회 인용
407
408
409
410
411
