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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Beyond Short Snippets: Deep Networks for Video Classification
Joe Yue-Hei Ng, Matthew Hausknecht 외 4명
arXiv (Cornell University)
|
2015
|
254 회 인용
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
Yuanduo Hong, Huihui Pan 외 2명
arXiv (Cornell University)
|
2021
|
254 회 인용
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
John R. Hershey, Jonathan Le Roux 외 1명
arXiv (Cornell University)
|
2014
|
254 회 인용
The 2018 DAVIS Challenge on Video Object Segmentation
Sergi Caelles, Alberto Montes 외 5명
arXiv (Cornell University)
|
2018
|
254 회 인용
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley 외 3명
arXiv (Cornell University)
|
2015
|
253 회 인용
A Review of Challenges and Opportunities in Machine Learning for Health
Marzyeh Ghassemi, Tristan Naumann 외 4명
PubMed
|
2018
|
253 회 인용
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits
Rubén Martínez-Cantín
Zaguan (University of Zaragoza Repository)
|
2014
|
253 회 인용
Building Generalizable Agents with a Realistic and Rich 3D Environment
Yi Wu, Yuxin Wu 외 2명
arXiv (Cornell University)
|
2018
|
253 회 인용
Random Search and Reproducibility for Neural Architecture Search
Liam Li, Ameet Talwalkar
arXiv (Cornell University)
|
2019
|
253 회 인용
Ray: A Distributed Framework for Emerging AI Applications
Philipp Moritz, Robert Nishihara 외 9명
arXiv (Cornell University)
|
2017
|
253 회 인용
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