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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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Adversarial AutoAugment
Xinyu Zhang, Qiang Wang, +2
arXiv (Cornell University)
|
2019
|
88 citations
An Experimental Study of Robustness to Asynchronism for Elementary Cellular Automata
Nazim Fatès, Michel Morvan
arXiv (Cornell University)
|
2004
|
88 citations
BayesNAS: A Bayesian Approach for Neural Architecture Search
Hongpeng Zhou, Minghao Yang, +2
arXiv (Cornell University)
|
2019
|
88 citations
Benchmarking Natural Language Understanding Services for building Conversational Agents
Xingkun Liu, Arash Eshghi, +2
arXiv (Cornell University)
|
2019
|
88 citations
Covariant Compositional Networks For Learning Graphs
Risi Kondor, Hy Truong Son, +3
arXiv (Cornell University)
|
2018
|
88 citations
Decompositions of general quantum gates
Mikko Möttönen, Juha J. Vartiainen
ArXiv.org
|
2005
|
88 citations
Deep Forest: Towards An Alternative to Deep Neural Networks
Zhi‐Hua Zhou, Ji Feng
arXiv (Cornell University)
|
2017
|
88 citations
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Xingjian Li, Haoyi Xiong, +5
arXiv (Cornell University)
|
2019
|
88 citations
Demystifying Neural Style Transfer
Yanghao Li, Naiyan Wang, +2
arXiv (Cornell University)
|
2017
|
88 citations
Design Challenges and Misconceptions in Neural Sequence Labeling
Jie Yang, Shuailong Liang, +1
arXiv (Cornell University)
|
2018
|
88 citations
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