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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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Asymmetric Tri-training for Unsupervised Domain Adaptation
Kuniaki Saito, Yoshitaka Ushiku, +1
arXiv (Cornell University)
|
2017
|
441 citations
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments
Alexandrin Popescul, Lyle Ungar, +2
arXiv (Cornell University)
|
2013
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440 citations
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu, D. Dohan, +5
arXiv (Cornell University)
|
2018
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440 citations
Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek, Oren Rippel, +7
arXiv (Cornell University)
|
2015
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439 citations
The State of Sparsity in Deep Neural Networks
Trevor Gale, Erich Elsen, +1
arXiv (Cornell University)
|
2019
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439 citations
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Édouard Grave, +2
arXiv (Cornell University)
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2016
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438 citations
GraphLab: A New Framework For Parallel Machine Learning
Yucheng Low, Joseph E. Gonzalez, +4
arXiv (Cornell University)
|
2014
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438 citations
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
Xuan Zhang, Hao Luo, +7
arXiv (Cornell University)
|
2017
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437 citations
Few-Shot Learning with Graph Neural Networks
Víctor García, Joan Bruna
arXiv (Cornell University)
|
2017
|
437 citations
Countering Adversarial Images using Input Transformations
Chuan Guo, Mayank Rana, +2
arXiv (Cornell University)
|
2017
|
436 citations
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