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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
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng, Duo Wang 외 2명
arXiv (Cornell University)
|
2017
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878 회 인용
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Antoine Miech, Dimitri Zhukov 외 4명
arXiv (Cornell University)
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2019
|
878 회 인용
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Zhaohui Zheng, Ping Wang 외 4명
arXiv (Cornell University)
|
2019
|
876 회 인용
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Yannis Assael 외 2명
arXiv (Cornell University)
|
2016
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867 회 인용
Graph Contrastive Learning with Augmentations
Yuning You, Tianlong Chen 외 4명
arXiv (Cornell University)
|
2020
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863 회 인용
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li, Dongxu Li 외 2명
arXiv (Cornell University)
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2022
|
862 회 인용
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
Haşim Sak, Andrew Senior 외 1명
arXiv (Cornell University)
|
2014
|
859 회 인용
Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash 외 1명
arXiv (Cornell University)
|
2016
|
848 회 인용
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
Robert E. Speer, Joshua Chin 외 1명
arXiv (Cornell University)
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2016
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844 회 인용
Automatic differentiation in machine learning: a survey
Shaikhha, Amir, Barak A. Pearlmutter
arXiv (Cornell University)
|
2015
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843 회 인용
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