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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
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang, Tao Xu 외 5명
arXiv (Cornell University)
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2016
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227 회 인용
The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race
Stefano Cresci, Roberto Di Pietro 외 3명
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)
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2017
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227 회 인용
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
Du Phan, Neeraj Pradhan 외 1명
arXiv (Cornell University)
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2019
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226 회 인용
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
Huikai Wu, Junge Zhang 외 3명
arXiv (Cornell University)
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2019
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226 회 인용
GridMask Data Augmentation
Pengguang Chen, Shu Liu 외 3명
arXiv (Cornell University)
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2020
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226 회 인용
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao, Colin Wei 외 3명
arXiv (Cornell University)
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2019
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226 회 인용
Natural Language Parsing as Statistical Pattern Recognition
David M. Magerman
arXiv (Cornell University)
|
1994
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226 회 인용
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr, Dan Boneh
arXiv (Cornell University)
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2018
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226 회 인용
Stochastic Adversarial Video Prediction
Alex X. Lee, Richard Zhang 외 4명
arXiv (Cornell University)
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2018
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226 회 인용
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
Maithra Raghu, Justin Gilmer 외 2명
arXiv (Cornell University)
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2017
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226 회 인용
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