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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
Cross Attention Network for Few-shot Classification
Ruibing Hou, Hong Chang 외 3명
arXiv (Cornell University)
|
2019
|
143 회 인용
Data Augmentation Using GANs
Fabio Henrique Kiyoiti dos Santos Tanaka, Claus Aranha
arXiv (Cornell University)
|
2019
|
143 회 인용
Data Mining Applications: A comparative Study for Predicting Student's performance
Surjeet Kumar Yadav, Brijesh Bharadwaj 외 1명
arXiv (Cornell University)
|
2012
|
143 회 인용
DeepArchitect: Automatically Designing and Training Deep Architectures
Renato Negrinho, Geoffrey J. Gordon
arXiv (Cornell University)
|
2017
|
143 회 인용
Directed Cyclic Graphical Representations of Feedback Models
Peter Spirtes
arXiv (Cornell University)
|
2013
|
143 회 인용
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
Song Han, Jeff Pool 외 10명
arXiv (Cornell University)
|
2016
|
143 회 인용
Foolbox: A Python toolbox to benchmark the robustness of machine learning models
Jonas Rauber, Wieland Brendel 외 1명
arXiv (Cornell University)
|
2017
|
143 회 인용
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito, Kohei Watanabe 외 2명
arXiv (Cornell University)
|
2017
|
143 회 인용
Measuring abstract reasoning in neural networks
David G. T. Barrett, Felix Hill 외 3명
arXiv (Cornell University)
|
2018
|
143 회 인용
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
Dong Gong, Lingqiao Liu 외 5명
arXiv (Cornell University)
|
2019
|
143 회 인용
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