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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
Byzantine Stochastic Gradient Descent
Dan Alistarh, Zeyuan Allen-Zhu 외 1명
arXiv (Cornell University)
|
2018
|
104 회 인용
Censoring Representations with an Adversary
Harrison Edwards, Amos Storkey
arXiv (Cornell University)
|
2015
|
104 회 인용
Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples
Felix Kreuk, Assi Barak 외 4명
arXiv (Cornell University)
|
2018
|
104 회 인용
Deep Neural Decision Trees
Yongxin Yang, Irene Garcia Morillo 외 1명
arXiv (Cornell University)
|
2018
|
104 회 인용
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Daya Guo, Qihao Zhu 외 11명
arXiv (Cornell University)
|
2024
|
104 회 인용
DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
Zhuoyao Zhong, Lianwen Jin 외 2명
arXiv (Cornell University)
|
2016
|
104 회 인용
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
Yuma Koizumi, Yohei Kawaguchi 외 9명
arXiv (Cornell University)
|
2020
|
104 회 인용
Face Recognition: From Traditional to Deep Learning Methods
Daniel Sáez-Trigueros, Li Meng 외 1명
arXiv (Cornell University)
|
2018
|
104 회 인용
Federated Learning Of Out-Of-Vocabulary Words
Chen, Mingqing, Rajiv Mathews 외 2명
arXiv (Cornell University)
|
2019
|
104 회 인용
Fixing Data Augmentation to Improve Adversarial Robustness
Sylvestre-Alvise Rebuffi, Sven Gowal 외 4명
arXiv (Cornell University)
|
2021
|
104 회 인용
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