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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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Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
arXiv (Cornell University)
|
2017
|
244 citations
Creating superpositions that correspond to efficiently integrable probability distributions
Lov K. Grover, Terry Rudolph
ArXiv.org
|
2002
|
244 citations
Depthwise Separable Convolutions for Neural Machine Translation
Łukasz Kaiser, Aidan N. Gomez, +1
arXiv (Cornell University)
|
2017
|
244 citations
DetNet: A Backbone network for Object Detection
Zeming Li, Chao Peng, +4
arXiv (Cornell University)
|
2018
|
244 citations
Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps
W. B. Vasantha Kandasamy, Florentín Smarandache
ArXiv.org
|
2003
|
244 citations
HDNET: Exploiting HD Maps for 3D Object Detection
Bin Yang, Ming Liang, +1
arXiv (Cornell University)
|
2020
|
244 citations
On the Identifiability of the Post-Nonlinear Causal Model
Kun Zhang, Aapo Hyvärinen
arXiv (Cornell University)
|
2012
|
244 citations
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso, Luca Cavalleri, +3
arXiv (Cornell University)
|
2020
|
244 citations
Speaker-Follower Models for Vision-and-Language Navigation
Daniel Fried, Ronghang Hu, +8
arXiv (Cornell University)
|
2018
|
244 citations
A Reliable Effective Terascale Linear Learning System
Alekh Agarwal, Olivier Chapelle, +2
arXiv (Cornell University)
|
2011
|
243 citations
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