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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
Asymmetric Tri-training for Unsupervised Domain Adaptation
Kuniaki Saito, Yoshitaka Ushiku 외 1명
arXiv (Cornell University)
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2017
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441 회 인용
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments
Alexandrin Popescul, Lyle Ungar 외 2명
arXiv (Cornell University)
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2013
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440 회 인용
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu, D. Dohan 외 5명
arXiv (Cornell University)
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2018
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440 회 인용
Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek, Oren Rippel 외 7명
arXiv (Cornell University)
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2015
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439 회 인용
The State of Sparsity in Deep Neural Networks
Trevor Gale, Erich Elsen 외 1명
arXiv (Cornell University)
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2019
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439 회 인용
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Édouard Grave 외 2명
arXiv (Cornell University)
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2016
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438 회 인용
GraphLab: A New Framework For Parallel Machine Learning
Yucheng Low, Joseph E. Gonzalez 외 4명
arXiv (Cornell University)
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2014
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438 회 인용
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
Xuan Zhang, Hao Luo 외 7명
arXiv (Cornell University)
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2017
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437 회 인용
Few-Shot Learning with Graph Neural Networks
Víctor García, Joan Bruna
arXiv (Cornell University)
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2017
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437 회 인용
Countering Adversarial Images using Input Transformations
Chuan Guo, Mayank Rana 외 2명
arXiv (Cornell University)
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2017
|
436 회 인용
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