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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
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Deyao Zhu, Jun Chen 외 3명
arXiv (Cornell University)
|
2023
|
472 회 인용
Text Chunking using Transformation-Based Learning
Lance Ramshaw, Mitchell P. Marcus
ArXiv.org
|
1995
|
472 회 인용
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu, Elman Mansimov 외 3명
arXiv (Cornell University)
|
2017
|
470 회 인용
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
Vikas Yadav, Steven Bethard
arXiv (Cornell University)
|
2019
|
468 회 인용
Beyond English-Centric Multilingual Machine Translation
Angela Fan, Shruti Bhosale 외 15명
arXiv (Cornell University)
|
2020
|
468 회 인용
Learning Structured Sparsity in Deep Neural Networks
Wei Wen, Chunpeng Wu 외 3명
arXiv (Cornell University)
|
2016
|
468 회 인용
Regularizing and Optimizing LSTM Language Models
Stephen Merity, Nitish Shirish Keskar 외 1명
arXiv (Cornell University)
|
2017
|
468 회 인용
Order-independent constraint-based causal structure learning
Diego Colombo, Marloes H. Maathuis
arXiv (Cornell University)
|
2014
|
466 회 인용
A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli 외 2명
arXiv (Cornell University)
|
2015
|
465 회 인용
Persistence Images: A Stable Vector Representation of Persistent Homology
Henry Adams, Sofya Chepushtanova 외 8명
arXiv (Cornell University)
|
2015
|
465 회 인용
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