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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
Revisiting Bayesian Blind Deconvolution
David Wipf, Haichao Zhang
arXiv (Cornell University)
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2013
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96 회 인용
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
Ruining Deng, Can Cui 외 14명
arXiv (Cornell University)
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2023
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96 회 인용
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi, Youngjung Uh 외 2명
arXiv (Cornell University)
|
2019
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96 회 인용
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee, Anusha Nagabandi 외 2명
arXiv (Cornell University)
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2019
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96 회 인용
Sum-of-squares proofs and the quest toward optimal algorithms
Boaz Barak, David Steurer
arXiv (Cornell University)
|
2014
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96 회 인용
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Yen-Chen Lin, Zhang-Wei Hong 외 4명
arXiv (Cornell University)
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2017
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96 회 인용
TextWorld: A Learning Environment for Text-based Games
Marc-Alexandre Côté, Ákos Kádár 외 11명
arXiv (Cornell University)
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2018
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96 회 인용
The UEA multivariate time series classification archive, 2018
Anthony Bagnall, Hoang Anh Dau 외 6명
arXiv (Cornell University)
|
2018
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96 회 인용
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
T. Tony Cai, Rong Ma
arXiv (Cornell University)
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2021
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96 회 인용
UniMorph 2.0: Universal Morphology
Christo Kirov, Ryan Cotterell 외 11명
arXiv (Cornell University)
|
2018
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96 회 인용
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