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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
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
Christos Louizos, Max Welling
arXiv (Cornell University)
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2016
|
95 회 인용
Subsampled R\\'enyi Differential Privacy and Analytical Moments Accountant
Yu-Xiang Wang, Borja Balle 외 1명
arXiv (Cornell University)
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2018
|
95 회 인용
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi, Ben Chamberlain 외 4명
arXiv (Cornell University)
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2020
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95 회 인용
TensorFlow-Serving: Flexible, High-Performance ML Serving
Christopher Olston, Noah Fiedel 외 7명
arXiv (Cornell University)
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2017
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95 회 인용
Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Shangchen Zhou, Kelvin C. K. Chan 외 2명
arXiv (Cornell University)
|
2022
|
95 회 인용
Track Anything: Segment Anything Meets Videos
Jinyu Yang, Mingqi Gao 외 4명
arXiv (Cornell University)
|
2023
|
95 회 인용
TransReID: Transformer-based Object Re-Identification
Shuting He, Hao Luo 외 4명
arXiv (Cornell University)
|
2021
|
95 회 인용
Understanding and Enhancing the Transferability of Adversarial Examples
Lei Wu, Zhanxing Zhu 외 2명
arXiv (Cornell University)
|
2018
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95 회 인용
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
Brian K. S. Isaac-Medina, Matt Poyser 외 4명
arXiv (Cornell University)
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2021
|
95 회 인용
Unsupervised Neural Machine Translation
Mikel Artetxe, Gorka Labaka 외 2명
arXiv (Cornell University)
|
2017
|
95 회 인용
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