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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
Adversarial Learning for Semi-Supervised Semantic Segmentation
Wei-Chih Hung, Yi‐Hsuan Tsai 외 3명
arXiv (Cornell University)
|
2018
|
377 회 인용
KG-BERT: BERT for Knowledge Graph Completion
Liang Yao, Chengsheng Mao 외 1명
arXiv (Cornell University)
|
2019
|
377 회 인용
Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (1999)
Kathryn Blackmond Laskey, Henri Prade
arXiv (Cornell University)
|
2013
|
377 회 인용
Sum-Product Networks: A New Deep Architecture
Hoifung Poon, Pedro Domingos
arXiv (Cornell University)
|
2012
|
377 회 인용
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
BoRui Wu, Chenfeng Xu 외 8명
arXiv (Cornell University)
|
2020
|
377 회 인용
Detecting Adversarial Samples from Artifacts
Reuben Feinman, Ryan R. Curtin 외 2명
arXiv (Cornell University)
|
2017
|
376 회 인용
iDLG: Improved Deep Leakage from Gradients
Bo Zhao, Konda Reddy Mopuri 외 1명
arXiv (Cornell University)
|
2020
|
376 회 인용
Making Convolutional Networks Shift-Invariant Again
Richard Zhang
arXiv (Cornell University)
|
2019
|
376 회 인용
VIME: Variational Information Maximizing Exploration
Rein Houthooft, Xi Chen 외 4명
arXiv (Cornell University)
|
2016
|
376 회 인용
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
Ramesh Nallapati, Bowen Zhou 외 3명
arXiv (Cornell University)
|
2016
|
375 회 인용
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