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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
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Sercan Ö. Arık, Gregory Diamos 외 6명
arXiv (Cornell University)
|
2017
|
212 회 인용
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben‐Nun, Torsten Hoefler
arXiv (Cornell University)
|
2018
|
212 회 인용
Detecting Curve Text in the Wild: New Dataset and New Solution
Yuliang Liu, Lianwen Jin 외 2명
arXiv (Cornell University)
|
2017
|
212 회 인용
Dynamic Channel Pruning: Feature Boosting and Suppression
Xitong Gao, Yiren Zhao 외 3명
arXiv (Cornell University)
|
2018
|
212 회 인용
Generating Steganographic Images via Adversarial Training
Jamie Hayes, George Danezis
arXiv (Cornell University)
|
2017
|
212 회 인용
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Timur Garipov, Pavel Izmailov 외 3명
arXiv (Cornell University)
|
2018
|
212 회 인용
Modeling homophily and stochastic equivalence in symmetric relational data
Peter D. Hoff
ArXiv.org
|
2007
|
212 회 인용
Practical and Optimal LSH for Angular Distance
Alexandr Andoni, Piotr Indyk 외 3명
TU/e Research Portal
|
2015
|
212 회 인용
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang, Zhi Xu
arXiv (Cornell University)
|
2020
|
212 회 인용
SAM 2: Segment Anything in Images and Videos
Nikhila Ravi, Valentin Gabeur 외 16명
arXiv (Cornell University)
|
2024
|
212 회 인용
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