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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
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
A. Sankara Narayanan, Mahinthan Chandramohan 외 3명
arXiv (Cornell University)
|
2016
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139 회 인용
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models
Go Inoue, Bashar Alhafni 외 3명
arXiv (Cornell University)
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2021
|
139 회 인용
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas Anthony, Tian Zheng 외 1명
arXiv (Cornell University)
|
2017
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139 회 인용
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
Pengfei Chen, Benben Liao 외 2명
arXiv (Cornell University)
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2019
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139 회 인용
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration
Junyu Chen, Yufan He 외 3명
arXiv (Cornell University)
|
2021
|
139 회 인용
Aggregate and mixed-order Markov models for statistical language processing
Lawrence K. Saul, Fernando Pereira
ArXiv.org
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1997
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138 회 인용
ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic.
Muhammad Abdul-Mageed, AbdelRahim Elmadany 외 1명
arXiv (Cornell University)
|
2020
|
138 회 인용
Attempto Controlled English (ACE)
Norbert E. Fuchs, Rolf Schwitter
ArXiv.org
|
1996
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138 회 인용
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
Hui Zhou, Xinge Zhu 외 5명
arXiv (Cornell University)
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2020
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138 회 인용
Deep Metric Learning for Practical Person Re-Identification
Yi Dong, Zhen Lei 외 1명
arXiv (Cornell University)
|
2014
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138 회 인용
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