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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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Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Xue Bin Peng, Angjoo Kanazawa, +3
arXiv (Cornell University)
|
2018
|
101 citations
What Regularized Auto-Encoders Learn from the Data Generating Distribution
Guillaume Alain, Yoshua Bengio
arXiv (Cornell University)
|
2012
|
101 citations
A deep tree-based model for software defect prediction
Hoa Khanh Dam, Trang Pham, +6
arXiv (Cornell University)
|
2018
|
100 citations
A General Method for Finding Low Error Rates of LDPC Codes
Chad A. Cole, Stephen G. Wilson, +2
ArXiv.org
|
2006
|
100 citations
A Placement Vulnerability Study in Multi-tenant Public Clouds
Venkatanathan Varadarajan, Yinqian Zhang, +2
arXiv (Cornell University)
|
2015
|
100 citations
A review of mean-shift algorithms for clustering
Miguel Á. Carreira-Perpiñán
arXiv (Cornell University)
|
2015
|
100 citations
A Survey on Consensus Mechanisms and Mining Management in Blockchain Networks
Wenbo Wang, Dinh Thai Hoang, +5
arXiv (Cornell University)
|
2018
|
100 citations
A Survey on Deep Learning for Named Entity Recognition
Jing Li, Aixin Sun, +2
arXiv (Cornell University)
|
2018
|
100 citations
Adversarial Generation of Natural Language
Sai Rajeswar, Sandeep Subramanian, +3
arXiv (Cornell University)
|
2017
|
100 citations
An Experimental Survey on Correlation Filter-based Tracking
Zhe Chen, Zhibin Hong, +1
arXiv (Cornell University)
|
2015
|
100 citations
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