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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
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
Jonathan Tompson, Arjun Jain 외 2명
arXiv (Cornell University)
|
2014
|
972 회 인용
Learning Combinatorial Optimization Algorithms over Graphs
Hanjun Dai, Elias B. Khalil 외 3명
arXiv (Cornell University)
|
2017
|
971 회 인용
Convolutional Neural Network Architectures for Matching Natural Language Sentences
Baotian Hu, Zhengdong Lu 외 2명
arXiv (Cornell University)
|
2015
|
970 회 인용
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu, Tri Dao
arXiv (Cornell University)
|
2023
|
967 회 인용
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan, Xi Chen 외 3명
arXiv (Cornell University)
|
2016
|
966 회 인용
Recurrent Neural Network for Text Classification with Multi-Task Learning
Pengfei Liu, Xipeng Qiu 외 1명
arXiv (Cornell University)
|
2016
|
965 회 인용
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor, Ivo Danihelka 외 3명
arXiv (Cornell University)
|
2015
|
964 회 인용
MLlib: Machine Learning in Apache Spark
Xiangrui Meng, Joseph K. Bradley 외 14명
arXiv (Cornell University)
|
2015
|
961 회 인용
Towards Federated Learning at Scale: System Design
Keith Bonawitz, Hubert Eichner 외 12명
arXiv (Cornell University)
|
2019
|
954 회 인용
An Introduction to Convolutional Neural Networks
Keiron O’Shea, Ryan Nash
arXiv (Cornell University)
|
2015
|
951 회 인용
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