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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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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles R. Qi, Yi Li, +2
arXiv (Cornell University)
|
2017
|
7,051 citations
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton, Nitish Srivastava, +3
arXiv (Cornell University)
|
2012
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6,639 citations
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Xiao Han, Kashif Rasul, +1
arXiv (Cornell University)
|
2017
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6,056 citations
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
Forrest Iandola, Song Han, +4
arXiv (Cornell University)
|
2016
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5,918 citations
YOLOv3: An Incremental Improvement
Joseph Redmon, Ali Farhadi
arXiv (Cornell University)
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2018
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5,881 citations
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn, Pieter Abbeel, +1
arXiv (Cornell University)
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2017
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5,758 citations
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, +5
arXiv (Cornell University)
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2013
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5,706 citations
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, +29
arXiv (Cornell University)
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2016
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5,643 citations
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek, Hugo Larochelle, +1
arXiv (Cornell University)
|
2012
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5,635 citations
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. Brendan McMahan, Eider Moore, +3
arXiv (Cornell University)
|
2016
|
5,595 citations
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