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