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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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Sparse Networks from Scratch: Faster Training without Losing Performance
Tim Dettmers, Luke Zettlemoyer
arXiv (Cornell University)
|
2019
|
191 citations
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot, Patrick McDaniel, +2
arXiv (Cornell University)
|
2016
|
191 citations
True Few-Shot Learning with Language Models
Ethan Perez, Douwe Kiela, +1
arXiv (Cornell University)
|
2021
|
191 citations
Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms
Chris Thornton, Frank Hutter, +2
arXiv (Cornell University)
|
2012
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190 citations
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Shalini Ghosh, Oriol Vinyals, +4
arXiv (Cornell University)
|
2016
|
190 citations
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval
Sadaqat Ur Rehman, Muhammad Waqas, +6
arXiv (Cornell University)
|
2020
|
190 citations
Efficient generation of entangled multi-photon graph states from a single atom
Philip Thomas, Leonardo Ruscio, +2
arXiv (Cornell University)
|
2022
|
190 citations
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
Chaoyang He, Murali Annavaram, +1
arXiv (Cornell University)
|
2020
|
190 citations
Haar Wavelet Based Approach for Image Compression and Quality Assessment of Compressed Image
Kamrul Hasan Talukder, Koichi Harada
arXiv (Cornell University)
|
2010
|
190 citations
High Quality Monocular Depth Estimation via Transfer Learning
Ibraheem Alhashim, Peter Wonka
arXiv (Cornell University)
|
2018
|
190 citations
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