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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
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang, Kihyuk Sohn 외 2명
arXiv (Cornell University)
|
2016
|
237 회 인용
Application of k Means Clustering algorithm for prediction of Students Academic Performance
Olanrewaju Jelili Oyelade, Olufunke Oladipupo 외 1명
arXiv (Cornell University)
|
2010
|
236 회 인용
Online Human-Bot Interactions: Detection, Estimation, and Characterization
Onur Varol, Emilio Ferrara 외 3명
arXiv (Cornell University)
|
2017
|
236 회 인용
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma, Xiangyu Zhang 외 2명
ArXiv.org
|
2018
|
236 회 인용
Aggregating Deep Convolutional Features for Image Retrieval
Artem Babenko, Victor Lempitsky
arXiv (Cornell University)
|
2015
|
235 회 인용
Analysis of Hashrate-Based Double Spending
Meni Rosenfeld
arXiv (Cornell University)
|
2014
|
235 회 인용
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Michael Lewis, Yinhan Liu 외 6명
arXiv (Cornell University)
|
2019
|
235 회 인용
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
Jean Bégaint, Fabien Racapé 외 2명
arXiv (Cornell University)
|
2020
|
235 회 인용
Human Pose Regression by Combining Indirect Part Detection and Contextual Information
Diogo Luvizon, Hedi Tabia 외 1명
arXiv (Cornell University)
|
2017
|
235 회 인용
Inferring Fine-grained Control Flow Inside SGX Enclaves with Branch Shadowing
Sangho Lee, Ming-Wei Shih 외 4명
arXiv (Cornell University)
|
2016
|
235 회 인용
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