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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
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai, Xingdi Yuan 외 2명
arXiv (Cornell University)
|
2017
|
106 회 인용
Re-ranking Person Re-identification with k-reciprocal Encoding
Zhun Zhong, Liang Zheng 외 2명
arXiv (Cornell University)
|
2017
|
106 회 인용
SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes
Marc Assens, Kevin McGuinness 외 2명
arXiv (Cornell University)
|
2017
|
106 회 인용
Second-order Non-local Attention Networks for Person Re-identification
Bryan Bryan, Xia 외 3명
arXiv (Cornell University)
|
2019
|
106 회 인용
Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates
Leslie N. Smith, Nicholay Topin
arXiv (Cornell University)
|
2017
|
106 회 인용
Symmetric Algorithm Survey: A Comparative Analysis
Mansoor Ebrahim, Shujaat Khan 외 1명
arXiv (Cornell University)
|
2014
|
106 회 인용
The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education?
Cecilia Ka Yuk Chan, Louisa H. Y. Tsi
arXiv (Cornell University)
|
2023
|
106 회 인용
Wireless capacity with oblivious power in general metrics
Magnús M. Halldórsson, Pradipta Mitra
arXiv (Cornell University)
|
2011
|
106 회 인용
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Aditya Devarakonda, Maxim Naumov 외 1명
arXiv (Cornell University)
|
2017
|
105 회 인용
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense
Huijun Wu, Chen Wang 외 4명
arXiv (Cornell University)
|
2019
|
105 회 인용
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