咨询与建议

限定检索结果

文献类型

  • 904 篇 期刊文献
  • 618 篇 会议
  • 12 篇 学位论文

馆藏范围

  • 1,534 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,386 篇 工学
    • 946 篇 计算机科学与技术...
    • 488 篇 电气工程
    • 177 篇 信息与通信工程
    • 129 篇 控制科学与工程
    • 128 篇 软件工程
    • 75 篇 生物医学工程(可授...
    • 73 篇 仪器科学与技术
    • 59 篇 机械工程
    • 48 篇 材料科学与工程(可...
    • 36 篇 电子科学与技术(可...
    • 32 篇 石油与天然气工程
    • 25 篇 测绘科学与技术
    • 24 篇 化学工程与技术
    • 21 篇 土木工程
    • 21 篇 环境科学与工程(可...
    • 19 篇 动力工程及工程热...
    • 17 篇 力学(可授工学、理...
    • 16 篇 交通运输工程
    • 13 篇 生物工程
  • 327 篇 理学
    • 124 篇 物理学
    • 95 篇 生物学
    • 59 篇 化学
    • 54 篇 数学
    • 35 篇 地球物理学
    • 20 篇 统计学(可授理学、...
  • 243 篇 医学
    • 146 篇 临床医学
    • 61 篇 特种医学
    • 56 篇 基础医学(可授医学...
  • 109 篇 管理学
    • 88 篇 管理科学与工程(可...
    • 15 篇 图书情报与档案管...
  • 18 篇 农学
  • 12 篇 经济学
  • 10 篇 法学
  • 10 篇 教育学
  • 9 篇 文学
  • 3 篇 艺术学

主题

  • 1,534 篇 variational auto...
  • 260 篇 deep learning
  • 131 篇 anomaly detectio...
  • 93 篇 machine learning
  • 58 篇 generative adver...
  • 47 篇 generative model
  • 46 篇 training
  • 43 篇 feature extracti...
  • 42 篇 unsupervised lea...
  • 39 篇 neural networks
  • 37 篇 representation l...
  • 36 篇 generative adver...
  • 36 篇 data augmentatio...
  • 34 篇 convolutional ne...
  • 33 篇 data models
  • 27 篇 semi-supervised ...
  • 27 篇 artificial intel...
  • 26 篇 task analysis
  • 26 篇 deep generative ...
  • 25 篇 collaborative fi...

机构

  • 10 篇 natl chiao tung ...
  • 6 篇 ucl england
  • 6 篇 shenzhen univ co...
  • 6 篇 shanghai univ sc...
  • 5 篇 nanyang technol ...
  • 5 篇 zhejiang lab peo...
  • 5 篇 xiamen univ sch ...
  • 5 篇 chung yuan chris...
  • 4 篇 mit comp sci & a...
  • 4 篇 univ chinese aca...
  • 4 篇 beijing jiaotong...
  • 4 篇 acad sinica res ...
  • 4 篇 acad sinica taiw...
  • 4 篇 oak ridge natl l...
  • 4 篇 northwestern pol...
  • 4 篇 ecole technol su...
  • 4 篇 chongqing univ p...
  • 4 篇 tsinghua univ de...
  • 4 篇 univ elect sci &...
  • 4 篇 zhejiang univ st...

作者

  • 12 篇 chien jen-tzung
  • 8 篇 tahan antoine
  • 8 篇 chen junghui
  • 8 篇 zemouri ryad
  • 7 篇 yang fan
  • 7 篇 utschick wolfgan...
  • 7 篇 zhang hao
  • 6 篇 tsao yu
  • 6 篇 baur michael
  • 6 篇 slavic giulia
  • 6 篇 wang hsin-min
  • 6 篇 regazzoni carlo
  • 6 篇 marcenaro lucio
  • 5 篇 guo rui
  • 5 篇 li maokun
  • 5 篇 hsu wei-ning
  • 5 篇 glass james
  • 5 篇 liu xin
  • 5 篇 yoshii kazuyoshi
  • 5 篇 li yan

语言

  • 1,486 篇 英文
  • 38 篇 其他
  • 2 篇 中文
  • 1 篇 德文
  • 1 篇 法文
  • 1 篇 意大利文
  • 1 篇 朝鲜文
  • 1 篇 土耳其文
检索条件"主题词=variational autoencoder"
1534 条 记 录,以下是531-540 订阅
排序:
Providing Previously Unseen Users Fair Recommendations Using variational autoencoders  23
Providing Previously Unseen Users Fair Recommendations Using...
收藏 引用
17th ACM Conference on Recommender Systems (RecSys)
作者: Vassoy, Bjornar Langseth, Helge Kille, Benjamin Norwegian Univ Sci & Technol Trondheim Trondelag Norway
An emerging definition of fairness in machine learning requires that models are oblivious to demographic user information, e.g., a user's gender or age should not influence the model. Personalized recommender syst... 详细信息
来源: 评论
Digital pathology whole slide image compression with Vector Quantized variational autoencoders
Digital pathology whole slide image compression with Vector ...
收藏 引用
Conference on Medical Imaging - Digital and Computational Pathology
作者: Keighley, Jason de Kamps, Marc Wright, Alexander Treanor, Darren Univ Leeds Woodhouse Lane Leeds LS2 9JT W Yorkshire England Leeds Teaching Hosp NHS Trust Great George St Leeds LS1 3EX W Yorkshire England Linkoping Univ Dept Clin Pathol Linkoping Sweden Linkoping Univ Dept Clin & Expt Med Linkoping Sweden Linkoping Univ Ctr Med Image Sci & Visualizat CMIV Linkoping Sweden Univ Leeds LIDA Leeds W Yorkshire England Alan Turing Inst 96 Euston Rd London NW1 2DB England
Digital pathology Whole Slide Images (WSIs) are large images (similar to 30 GB/slide uncompressed) of high resolution (0.25 microns per pixel), presenting a significant data storage challenge for hospitals wishing to ... 详细信息
来源: 评论
Differentially Private Synthetic Data Generation via Lipschitz-Regularised variational autoencoders  9
Differentially Private Synthetic Data Generation via Lipschi...
收藏 引用
9th IEEE Smart World Congress, SWC 2023
作者: Gros, Benedikt Wunder, Gerhard Freie Universität Department of Computer Science Berlin Germany
Synthetic data has been hailed as the silver bullet for privacy preserving data analysis. If a record is not real, then how could it violate a person's privacy? In addition, deep-learning based generative models a... 详细信息
来源: 评论
Fast and Efficient Speech Enhancement with variational autoencoders  48
Fast and Efficient Speech Enhancement with Variational Autoe...
收藏 引用
48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Sadeghi, Mostafa Serizel, Romain Université de Lorraine Cnrs Inria Loria NancyF-54000 France
Unsupervised speech enhancement based on variational autoencoders has shown promising performance compared with the commonly used supervised methods. This approach involves the use of a pre-trained deep speech prior a... 详细信息
来源: 评论
Generation of Communication Interference Waveforms Based on variational autoencoders  23
Generation of Communication Interference Waveforms Based on ...
收藏 引用
23rd IEEE International Conference on Communication Technology, ICCT 2023
作者: Chen, Shunshun Zhou, Zhichao Zhang, Zhipeng Wu, Xiangyu Hou, Changbo College of Information and Communication Engineering Harbin Engineering University Harbin China
The generation of interference waveforms is one of the core technologies in communication countermeasures. Existing communication interference methods usually rely on signal information obtained from communication rec... 详细信息
来源: 评论
Augmenting time series data: An interpretable approach with metric learning and variational autoencoders
收藏 引用
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2024年 161卷
作者: Zhang, Chunfeng Qin, Hao Zhang, Yongjun Jiang, Chongying Zhang, Di Deng, Wenyang South China Univ Technol Sch Elect Power Guangzhou 510665 Peoples R China
In the field of time series classification, deep learning techniques have shown remarkable performance;however, their effectiveness is often compromised when confronted with challenges of insufficient data and class i... 详细信息
来源: 评论
Dynamic behavior recognition in aerial deployment of multi-segmented foldable-wing drones using variational autoencoders
收藏 引用
CHINESE JOURNAL OF AERONAUTICS 2025年 第6期38卷
作者: Dou, Yilin Zhou, Zhou Wang, Rui Northwestern Polytech Univ Sch Aeronaut Xian 710072 Peoples R China Natl Key Lab Aircraft Configurat Design Xian 710072 Peoples R China
The aerial deployment method enables Unmanned Aerial Vehicles (UAVs) to be directly positioned at the required altitude for their mission. This method typically employs folding technology to improve loading efficiency... 详细信息
来源: 评论
Learning Optimal Priors for Task-Invariant Representations in variational autoencoders  22
Learning Optimal Priors for Task-Invariant Representations i...
收藏 引用
28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KKD)
作者: Takahashi, Hiroshi Iwata, Tomoharu Kumagai, Atsutoshi Kanai, Sekitoshi Yamada, Masanori Yamanaka, Yuuki Kashima, Hisashi NTT Nairobi Kenya Kyoto Univ Kyoto Japan
The variational autoencoder (VAE) is a powerful latent variable model for unsupervised representation learning. However, it does not work well in case of insufficient data points. To improve the performance in such si... 详细信息
来源: 评论
Field-aware variational autoencoders for Billion-scale User Representation Learning  38
Field-aware Variational Autoencoders for Billion-scale User ...
收藏 引用
38th IEEE International Conference on Data Engineering (ICDE)
作者: Fan, Ge Zhang, Chaoyun Chen, Junyang Li, Baopu Xu, Zenglin Li, Yingjie Peng, Luyu Gong, Zhiguo Tencent Inc Shenzhen Peoples R China Shenzhen Univ Shenzhen Peoples R China Baidu USA Sunnyvale CA USA Harbin Inst Technol Shenzhen Shenzhen Peoples R China Univ Macau Macau Peoples R China
User representation learning plays an essential role in Internet applications, such as recommender systems. Though developing a universal embedding for users is demanding, only few previous works are conducted in an u... 详细信息
来源: 评论
Towards Unsupervised Subject-Independent Speech-Based Relapse Detection in Patients with Psychosis using variational autoencoders  30
Towards Unsupervised Subject-Independent Speech-Based Relaps...
收藏 引用
30th European Signal Processing Conference (EUSIPCO)
作者: Garoufis, C. Zlatintsi, A. Filntisis, P. P. Efthymiou, N. Kalisperakis, E. Karantinos, T. Garyfalli, V Lazaridi, M. Smyrnis, N. Maragos, P. Natl Tech Univ Athens Sch ECE Athens 15773 Greece Univ Mental Hlth Res Inst Lab Cognit Neurosci Athens Greece Natl & Kapodistrian Univ Athens Med Sch Athens Greece
Generative models, such as variational autoencoders, are being increasingly utilized for various acoustic modeling tasks, such as anomaly detection from audio signals. Motivated by this, in this work we propose a Conv... 详细信息
来源: 评论