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
Scene Text Detection via Holistic, Multi-Channel Prediction
Cong Yao, Xiang Bai 외 4명
arXiv (Cornell University)
|
2016
|
212 회 인용
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
Carlos Caetano, Jessica Sena 외 3명
arXiv (Cornell University)
|
2019
|
212 회 인용
Variational Denoising Network: Toward Blind Noise Modeling and Removal
Zongsheng Yue, Hongwei Yong 외 3명
arXiv (Cornell University)
|
2019
|
212 회 인용
Character-based Neural Machine Translation
Ling Wang, Isabel Trancoso 외 2명
arXiv (Cornell University)
|
2015
|
211 회 인용
Dual Attention Network for Scene Segmentation
Jun Fu, Jing Liu 외 5명
arXiv (Cornell University)
|
2018
|
211 회 인용
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma, Eduard Hovy
arXiv (Cornell University)
|
2016
|
211 회 인용
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora, Rong Ge 외 3명
arXiv (Cornell University)
|
2017
|
211 회 인용
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar, Robin Jia 외 1명
arXiv (Cornell University)
|
2018
|
211 회 인용
Parameterized Explainer for Graph Neural Network
Dongsheng Luo, Wei Cheng 외 5명
arXiv (Cornell University)
|
2020
|
211 회 인용
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Daniel Neil, Michael Pfeiffer 외 1명
arXiv (Cornell University)
|
2016
|
211 회 인용
209
210
211
212
213
