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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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Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh, Andrew M. Dai, +2
arXiv (Cornell University)
|
2018
|
87 citations
Learning Multiple Tasks with Deep Relationship Networks
Mingsheng Long, Jianmin Wang, +1
arXiv (Cornell University)
|
2015
|
87 citations
Learning to Pivot with Adversarial Networks
Gilles Louppe, M. Kagan, +1
arXiv (Cornell University)
|
2016
|
87 citations
Learning values across many orders of magnitude
Hado van Hasselt, Arthur Guez, +3
arXiv (Cornell University)
|
2016
|
87 citations
Low precision arithmetic for deep learning
Matthieu Courbariaux, Yoshua Bengio, +1
arXiv (Cornell University)
|
2014
|
87 citations
Measuring the Algorithmic Efficiency of Neural Networks
Danny Hernandez, T. B. Brown
arXiv (Cornell University)
|
2020
|
87 citations
Monocular Depth Estimation: A Survey
Amlaan Bhoi
arXiv (Cornell University)
|
2019
|
87 citations
Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking
Kiran Raja, Matteo Ferrara, +19
arXiv (Cornell University)
|
2020
|
87 citations
Number-conserving cellular automaton rules
Nino Boccara, Henryk Fukś
arXiv (Cornell University)
|
1999
|
87 citations
On distinguishability criteria for estimating generative models
Ian Goodfellow
arXiv (Cornell University)
|
2014
|
87 citations
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