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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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Fast Domain Adaptation for Neural Machine Translation
Markus Freitag, Yaser Al-Onaizan
arXiv (Cornell University)
|
2016
|
164 citations
Federated Learning for Emoji Prediction in a Mobile Keyboard
Swaroop Ramaswamy Pillai, Rajiv Mathews, +2
arXiv (Cornell University)
|
2019
|
164 citations
Language Is Not All You Need: Aligning Perception with Language Models
Shaohan Huang, Dong Li, +16
arXiv (Cornell University)
|
2023
|
164 citations
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
Yang You, Jing Li, +8
arXiv (Cornell University)
|
2019
|
164 citations
Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey
Hamed Jelodar, Yongli Wang, +5
arXiv (Cornell University)
|
2017
|
164 citations
Making Sensitivity Analysis Computationally Efficient
Uffe Kjærulff, Linda C. van der Gaag
arXiv (Cornell University)
|
2013
|
164 citations
Mobile Device Identification via Sensor Fingerprinting
Hristo Bojinov, Yan Michalevsky, +2
arXiv (Cornell University)
|
2014
|
164 citations
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen, Ian Goodfellow, +1
arXiv (Cornell University)
|
2015
|
164 citations
On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin, +6
arXiv (Cornell University)
|
2018
|
164 citations
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur, Ruslan Salakhutdinov, +1
arXiv (Cornell University)
|
2015
|
164 citations
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