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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
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Xue Bin Peng, Angjoo Kanazawa 외 3명
arXiv (Cornell University)
|
2018
|
101 회 인용
What Regularized Auto-Encoders Learn from the Data Generating Distribution
Guillaume Alain, Yoshua Bengio
arXiv (Cornell University)
|
2012
|
101 회 인용
A deep tree-based model for software defect prediction
Hoa Khanh Dam, Trang Pham 외 6명
arXiv (Cornell University)
|
2018
|
100 회 인용
A General Method for Finding Low Error Rates of LDPC Codes
Chad A. Cole, Stephen G. Wilson 외 2명
ArXiv.org
|
2006
|
100 회 인용
A Placement Vulnerability Study in Multi-tenant Public Clouds
Venkatanathan Varadarajan, Yinqian Zhang 외 2명
arXiv (Cornell University)
|
2015
|
100 회 인용
A review of mean-shift algorithms for clustering
Miguel Á. Carreira-Perpiñán
arXiv (Cornell University)
|
2015
|
100 회 인용
A Survey on Consensus Mechanisms and Mining Management in Blockchain Networks
Wenbo Wang, Dinh Thai Hoang 외 5명
arXiv (Cornell University)
|
2018
|
100 회 인용
A Survey on Deep Learning for Named Entity Recognition
Jing Li, Aixin Sun 외 2명
arXiv (Cornell University)
|
2018
|
100 회 인용
Adversarial Generation of Natural Language
Sai Rajeswar, Sandeep Subramanian 외 3명
arXiv (Cornell University)
|
2017
|
100 회 인용
An Experimental Survey on Correlation Filter-based Tracking
Zhe Chen, Zhibin Hong 외 1명
arXiv (Cornell University)
|
2015
|
100 회 인용
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