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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
Multi-Perspective Context Matching for Machine Comprehension
Zhiguo Wang, Haitao Mi 외 2명
arXiv (Cornell University)
|
2016
|
115 회 인용
On Physical Adversarial Patches for Object Detection
Mark Lee, J. Zico Kolter
arXiv (Cornell University)
|
2019
|
115 회 인용
qHiPSTER: The Quantum High Performance Software Testing Environment
Mikhail Smelyanskiy, Nicolas P. D. Sawaya 외 1명
arXiv (Cornell University)
|
2016
|
115 회 인용
Query-Efficient Imitation Learning for End-to-End Autonomous Driving
Jiakai Zhang, Kyunghyun Cho
arXiv (Cornell University)
|
2016
|
115 회 인용
Recent Advances in Deep Learning: An Overview
Matiur Rahman Minar, Jibon Naher
arXiv (Cornell University)
|
2018
|
115 회 인용
Recurrent Mixture Density Network for Spatiotemporal Visual Attention
Loris Bazzani, Hugo Larochelle 외 1명
arXiv (Cornell University)
|
2016
|
115 회 인용
Revisiting Deep Learning Models for Tabular Data
Yury Gorishniy, Ivan Rubachev 외 2명
arXiv (Cornell University)
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2021
|
115 회 인용
Scaling Speech Technology to 1,000+ Languages
Vineel Pratap, Andros Tjandra 외 14명
arXiv (Cornell University)
|
2023
|
115 회 인용
Sheaves, Cosheaves and Applications
Justin Curry
arXiv (Cornell University)
|
2013
|
115 회 인용
"Short-Dot": Computing Large Linear Transforms Distributedly Using Coded Short Dot Products
Sanghamitra Dutta, Viveck R. Cadambe 외 1명
arXiv (Cornell University)
|
2017
|
115 회 인용
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