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检索条件"主题词=Variational autoencoder"
1534 条 记 录,以下是1241-1250 订阅
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VAGA: Towards Accurate and Interpretable Outlier Detection Based on variational Auto-Encoder and Genetic Algorithm for High-Dimensional Data
VAGA: Towards Accurate and Interpretable Outlier Detection B...
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9th IEEE International Conference on Big Data (IEEE BigData)
作者: Li, Jiamu Zhang, Ji Wang, Jian Zhu, Youwen Bah, Mohamed Jaward Yang, Gaoming Gan, Yuquan Nanjing Univ Aeronaut & Astronaut Nanjing Peoples R China Univ Southern Queensland Toowoomba Qld Australia Zhejiang Lab Hangzhou Peoples R China Anhui Univ Sci & Technol Huainan Peoples R China Xian Univ Posts & Telecommun Xian Peoples R China
The curse of dimensionality in high-dimensional data makes it difficult to capture the abnormality of data points in full data space. To deal with this problem, we propose an outlier detection model based on Variation... 详细信息
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variational DIALOGUE GENERATION WITH NORMALIZING FLOWS
VARIATIONAL DIALOGUE GENERATION WITH NORMALIZING FLOWS
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Luo, Tien-Ching Chien, Jen-Tzung Natl Chiao Tung Univ Dept Elect & Comp Engn Hsinchu Taiwan
Conditional variational autoencoder (cVAE) has shown promising performance in dialogue generation. However, there still exists two issues in dialog cVAE model. The first issue is the Kullback-Leiblier (KL) vanishing p... 详细信息
来源: 评论
Learning Disentangled User Representation Based on Controllable VAE for Recommendation  26th
Learning Disentangled User Representation Based on Controlla...
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26th International Conference on Database Systems for Advanced Applications (DASFAA)
作者: Li, Yunyi Zhao, Pengpeng Wang, Deqing Xian, Xuefeng Liu, Yanchi Sheng, Victor S. Soochow Univ Inst Artificial Intelligence Sch Comp Sci & Technol Suzhou Peoples R China Beihang Univ Suzhou Peoples R China Suzhou Vocat Univ Suzhou Peoples R China NEC Labs Amer Princeton NJ USA Texas Tech Univ Dept Comp Sci Lubbock TX USA
User behaviour on purchasing is always driven by complex latent factors, which are highly disentangled in the real world. Learning latent factorized representation of users can uncover user intentions behind the obser... 详细信息
来源: 评论
Vector-Quantized autoencoder With Copula for Collaborative Filtering  21
Vector-Quantized Autoencoder With Copula for Collaborative F...
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30th ACM International Conference on Information and Knowledge Management (CIKM)
作者: Wang, Guanyu Zhong, Ting Xu, Xovee Zhang, Kunpeng Zhou, Fan Wang, Yong Univ Elect Sci & Technol China Chengdu Peoples R China Univ Maryland College Pk MD USA Zhengzhou Aiwen Comp Technol Co Ltd Zhengzhou Peoples R China Hong Kong Univ Sci & Technol Hong Kong Peoples R China
In theory, the variational auto-encoder (VAE) is not suitable for recommendation tasks, although it has been successfully utilized for collaborative filtering (CF) models. In this paper, we propose a Gaussian Copula-V... 详细信息
来源: 评论
LEVERAGING 3D INFORMATION IN UNSUPERVISED BRAIN MRI SEGMENTATION  18
LEVERAGING 3D INFORMATION IN UNSUPERVISED BRAIN MRI SEGMENTA...
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18th IEEE International Symposium on Biomedical Imaging (ISBI)
作者: Lambert, Benjamin Louis, Maxime Doyle, Senan Forbes, Florence Dojat, Michel Tucholka, Alan Pixyl Res & Dev Lab F-38000 Grenoble France Univ Grenoble Alpes INRIA CNRS Grenoble INPLJK F-38000 Grenoble France Univ Grenoble Alpes INSERM U1216 Grenoble Inst Neurosci F-38000 Grenoble France
Automatic segmentation of brain abnormalities is challenging, as they vary considerably from one pathology to another. Current methods are supervised and require numerous annotated images for each pathology, a strenuo... 详细信息
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Multi-module-based CVAE to predict HVCM faults in the SNS accelerator
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MACHINE LEARNING WITH APPLICATIONS 2023年 13卷
作者: Alanazi, Yasir Schram, Malachi Rajput, Kishansingh Goldenberg, Steven Vidyaratne, Lasitha Pappas, Chris Radaideh, Majdi I. Lu, Dan Ramuhalli, Pradeep Cousineau, Sarah Thomas Jefferson Natl Accelerator Facil Newport News VA 23606 USA Oak Ridge Natl Lab Oak Ridge TN 37830 USA Univ Michigan Dept Nucl Engn & Radiol Sci Ann Arbor MI 48109 USA
We present a multi-module framework based on Conditional variational autoencoder (CVAE) to detect anomalies in the power signals coming from multiple High Voltage Converter Modulators (HVCMs). We condition the model w... 详细信息
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Enhancing Long Term Fairness in Recommendations with variational autoencoders  11
Enhancing Long Term Fairness in Recommendations with Variati...
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11th International Conference on Management of Digital EcoSystems (MEDES)
作者: Borges, Rodrigo Stefanidis, Kostas Univ Sao Paulo Sao Paulo Brazil Tampere Univ Tampere Finland
Recommender systems have become indispensable for several Web sites, helping users deal with big amounts of data. They are capable of analyzing user/item interactions taking place on-line, and provide each user with a... 详细信息
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Comparative Analysis of Machine Learning Techniques for Island Heightmap Generation
Comparative Analysis of Machine Learning Techniques for Isla...
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International Joint Conference on Neural Networks (IJCNN)
作者: Demergis, Dimitri Rowan Univ Coll Sci & Math Glassboro NJ 08028 USA
Traditional approaches to terrain heightmap generation rely on geometric methods to generate a matrix of elevation values using noise functions. More advanced approaches attempt to model the natural processes that sha... 详细信息
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Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models  4th
Detection of Abnormal Folding Patterns with Unsupervised Dee...
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4th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN)
作者: Guillon, Louise Cagna, Bastien Dufumier, Benoit Chavas, Joel Riviere, Denis Mangin, Jean-Francois Univ Paris Saclay CEA CNRS NeuroSpinBaobab Gif Sur Yvette France IPParis Telecom Paris LTCI Palaiseau France
Although the main structures of cortical folding are present in each human brain, the folding pattern is unique to each individual. Because of this large normal variability, the identification of abnormal patterns ass... 详细信息
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Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization
Dynamic Narrowing of VAE Bottlenecks Using GECO and <i>L</i>...
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International Joint Conference on Neural Networks (IJCNN)
作者: De Boom, Cedric Wauthier, Samuel Verbelen, Tim Dhoedt, Bart Univ Ghent IDLab Dept Informat Technol IMEC Technologiepk Zwijnaarde 126 B-9052 Ghent Belgium
When designing variational autoencoders (VAEs) or other types of latent space models, the dimensionality of the latent space is typically defined upfront. In this process, it is possible that the number of dimensions ... 详细信息
来源: 评论