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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
EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
Hyrum S. Anderson
arXiv (Cornell University)
|
2018
|
135 회 인용
Fashionable Modelling with Flux
Michael Innes, Elliot Saba 외 7명
arXiv (Cornell University)
|
2018
|
135 회 인용
Fast Gradient Attack on Network Embedding
Jinyin Chen, Yangyang Wu 외 4명
arXiv (Cornell University)
|
2018
|
135 회 인용
Human Action Recognition and Prediction: A Survey
Yu Kong, Yun Fu
arXiv (Cornell University)
|
2018
|
135 회 인용
Joint 3D Proposal Generation and Object Detection from View Aggregation
Jason S. Ku, Melissa Mozifian 외 3명
arXiv (Cornell University)
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2017
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135 회 인용
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Ruize Wang, Duyu Tang 외 7명
arXiv (Cornell University)
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2020
|
135 회 인용
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao, Jonathan Cui 외 5명
arXiv (Cornell University)
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2021
|
135 회 인용
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Kevin Scaman, Aladin Virmaux
arXiv (Cornell University)
|
2018
|
135 회 인용
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
Sanjeev Arora, Nadav Cohen 외 1명
arXiv (Cornell University)
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2018
|
135 회 인용
Optimal Data-Based Binning for Histograms
Kevin H. Knuth
arXiv (Cornell University)
|
2006
|
135 회 인용
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