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检索条件"主题词=variational autoencoder"
1537 条 记 录,以下是1371-1380 订阅
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Enhanced Sampling of Nucleic Acids' Structures Using Deep-Learning-Derived Biasing Forces
Enhanced Sampling of Nucleic Acids' Structures Using Deep-Le...
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IEEE Symposium Series on Computational Intelligence (IEEE SSCI)
作者: Salawu, Emmanuel Oluwatobi Amazon Web Serv Machine Learning Solut Lab Metro Area Washington DC 98108 USA
The conformation spaces (CS) of macromolecules and their associated dynamics are of vital importance in the understanding of many biochemical functions as well as diseases and in the developments of drugs for curing o... 详细信息
来源: 评论
Neural networks based domain name generation
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JOURNAL OF INFORMATION SECURITY AND APPLICATIONS 2021年 61卷
作者: Wang, Zheng Guo, Yang NIST Gaithersburg MD 20899 USA
Domain generation algorithm (DGA) is used by botnets to build a stealthy command and control (C&C) communication channel between the C&C server and the bots. A DGA can periodically produce a large number of ps... 详细信息
来源: 评论
Domain Adaptation for Synthesis of Hazy Images
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Journal of Computer and Communications 2021年 第10期9卷 142-151页
作者: Haoying Sun Yutong Zheng Qing Lang School of Information Engineering Minzu University of China Beijing China
Most existing image dehazing methods based learning are less able to perform well to real hazy images. An important reason is that they are trained on synthetic hazy images whose distribution is different from real h... 详细信息
来源: 评论
variational Information Diffusion for Probabilistic Cascades Prediction  38
Variational Information Diffusion for Probabilistic Cascades...
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39th IEEE International Conference on Computer Communications (IEEE INFOCOM)
作者: Zhou, Fan Xu, Xovee Zhang, Kunpeng Trajcevski, Goce Zhong, Ting Univ Elect Sci & Technol China Sch Informat & Software Engn Chengdu Peoples R China Univ Maryland Robert H Smith Sch Business College Pk MD 20742 USA Iowa State Univ Dept Elect & Comp Engn Ames IA USA
Understanding in-network information diffusion is a fundamental problem in many application domains and one of the primary challenges is to predict the size of the information cascade. Most of the existing models rely... 详细信息
来源: 评论
Diversity Regularized autoencoders for Text Generation  20
Diversity Regularized Autoencoders for Text Generation
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35th Annual ACM Symposium on Applied Computing (SAC)
作者: Ko, Hyeseon Lee, Junhyuk Kim, Jinhong Lee, Jongwuk Shim, Hyunjung Sungkyunkwan Univ Seoul South Korea Yonsei Univ Seoul South Korea
In this paper, we propose a simple yet powerful text generation model, called diversity regularized autoencoders (DRAE). The key novelty of the proposed model lies in its ability to handle various sentence modificatio... 详细信息
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Manifold-based Test Generation for Image Classifiers  2
Manifold-based Test Generation for Image Classifiers
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IEEE International Conference on Artificial Intelligence Testing (AITest)
作者: Byun, Taejoon Vijayakumar, Abhishek Rayadurgam, Sanjai Cofer, Darren Univ Minnesota Comp Sci & Eng Minneapolis MN 55455 USA Carnegie Mellon Univ Sch Comp Sci Pittsburgh PA 15213 USA Collins Aerosp Adv Technol Ctr Bloomington MN USA
Neural networks used for image classification tasks in critical applications must be tested with sufficient realistic data to assure their correctness. This raises two challenges: first, an adequate subset of the data... 详细信息
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An Efficient Prediction Method for Coronary Heart Disease Risk Based on Two Deep Neural Networks Trained on Well-Ordered Training Datasets
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IEEE ACCESS 2021年 9卷 135210-135223页
作者: Amarbayasgalan, Tsatsral Pham, Van-Huy Theera-Umpon, Nipon Piao, Yongjun Ryu, Keun Ho Chungbuk Natl Univ Sch Elect & Comp Engn Database & Bioinformat Lab Cheongju 28644 South Korea Ton Duc Thang Univ Fac Informat Technol Ho Chi Minh City 700000 Vietnam Chiang Mai Univ Biomed Engn Inst Chiang Mai 50200 Thailand Chiang Mai Univ Fac Engn Dept Elect Engn Chiang Mai 50200 Thailand Nankai Univ Sch Med Tianjin 300071 Peoples R China Tianjin Cent Hosp Gynecol Obstet Tianjin Key Lab Human Dev & Reprod Regulat Tianjin 300199 Peoples R China
This study proposes an efficient prediction method for coronary heart disease risk based on two deep neural networks trained on well-ordered training datasets. Most real datasets include an irregular subset with highe... 详细信息
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Late Breaking Results: A Neural Network that Routes ICs  57
Late Breaking Results: A Neural Network that Routes ICs
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57th ACM/IEEE Design Automation Conference (DAC)
作者: Utyamishev, Dmitry Partin-Vaisband, Irina Univ Illinois Chicago IL 60607 USA
A global router is proposed that learns from routed circuits and autonomously routes unseen layouts. The uniqueness of this approach is in redefining the global routing as a classical image-to image processing problem... 详细信息
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Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus
Deep Learning Based Unsupervised and Semi-supervised Classif...
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International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Hallett, Nicole Yi, Kai Dick, Josef Hodge, Christopher Sutton, Gerard Wang, Yu Guang You, Jingjing Univ Sydney Sydney Eye Hosp Sydney NSW Australia Univ New South Wales Sch Math & Stat Sydney NSW Australia
The transparent cornea is the window of the eye, facilitating the entry of light rays and controlling focusing the movement of the light within the eye. The cornea is critical, contributing to 75% of the refractive po... 详细信息
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Text Generation in Discrete Space  29th
Text Generation in Discrete Space
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29th International Conference on Artificial Neural Networks (ICANN)
作者: Hu, Ting Meinel, Christoph Univ Potsdam Hasso Plattner Inst Potsdam Germany
variational autoencoders (VAEs) are applied to many generation tasks while suffering from posterior collapse issue. Vector Quantization (VQ) is recently employed in VAE model on image generation, which could get rid o... 详细信息
来源: 评论