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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
Common Limitations of Image Processing Metrics: A Picture Story
Annika Reinke, Minu D. Tizabi 외 91명
arXiv (Cornell University)
|
2021
|
87 회 인용
Comparative Study of Deep Learning Software Frameworks
Soheil Bahrampour, Naveen Ramakrishnan 외 2명
arXiv (Cornell University)
|
2015
|
87 회 인용
Critical Survey of the Freely Available Arabic Corpora
Wajdi Zaghouani
arXiv (Cornell University)
|
2017
|
87 회 인용
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang, Shali Jiang 외 3명
arXiv (Cornell University)
|
2019
|
87 회 인용
Deep Bidirectional Language-Knowledge Graph Pretraining
Michihiro Yasunaga, Antoine Bosselut 외 5명
arXiv (Cornell University)
|
2022
|
87 회 인용
Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress
Laura Laurenti, Elisa Tinti 외 3명
arXiv (Cornell University)
|
2022
|
87 회 인용
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
Ivan Perov, Daiheng Gao 외 12명
arXiv (Cornell University)
|
2020
|
87 회 인용
Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech
Andreas Stolcke, K. Ries 외 8명
arXiv (Cornell University)
|
2000
|
87 회 인용
Dynamic Model Pruning with Feedback
Tao Lin, Sebastian U. Stich 외 3명
arXiv (Cornell University)
|
2020
|
87 회 인용
Fake News, Disinformation, and Deepfakes: Leveraging Distributed Ledger Technologies and Blockchain to Combat Digital Deception and Counterfeit Reality
Paula Fraga‐Lamas, Tiago M. Fernández‐Caramés
arXiv (Cornell University)
|
2019
|
87 회 인용
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