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检索条件"主题词=Variational autoencoder"
1534 条 记 录,以下是1221-1230 订阅
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P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model  37
P3GM: Private High-Dimensional Data Release via Privacy Pres...
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37th IEEE International Conference on Data Engineering (IEEE ICDE)
作者: Takagi, Shun Takahashi, Tsubasa Cao, Yang Yoshikawa, Masatoshi Kyoto Univ Kyoto Japan LINE Corp Toronto ON Canada
How can we release a massive volume of sensitive data while mitigating privacy risks? Privacy-preserving data synthesis enables the data holder to outsource analytical tasks to an untrusted third party. The state-of-t... 详细信息
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Computational Intelligence Techniques Applied to a Preliminary Exploration of Climatic Traits using Meteosat Water Vapor Images
Computational Intelligence Techniques Applied to a Prelimina...
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International Joint Conference on Neural Networks (IJCNN)
作者: Valdes, Julio J. Pou, Antonio Natl Res Council Canada Digital Technol Res Ctr Ottawa ON Canada Autonomous Univ Madrid Dept Ecol Madrid Spain
Meteorological satellites are crucial for understanding and forecasting the flow dynamics of the General Atmospheric Circulation System. They produce large amounts of image information whose analysis and interpretatio... 详细信息
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Fast Multi-Step Critiquing for VAE-based Recommender Systems  21
Fast Multi-Step Critiquing for VAE-based Recommender Systems
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15th ACM Conference on Recommender Systems (RECSYS)
作者: Antognini, Diego Faltings, Boi Ecole Polytech Fed Lausanne Lausanne Switzerland
Recent studies have shown that providing personalized explanations alongside recommendations increases trust and perceived quality. Furthermore, it gives users an opportunity to refine the recommendations by critiquin... 详细信息
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MoEVC: A Mixture of Experts Voice Conversion System With Sparse Gating Mechanism for Online Computation Acceleration  12
MoEVC: A Mixture of Experts Voice Conversion System With Spa...
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12th International Symposium on Chinese Spoken Language Processing (ISCSLP)
作者: Chang, Yu-Tao Yang, Yuan-Hong Peng, Yu-Huai Wang, Syu-Siang Chi, Tai-Shih Tsao, Yu Wang, Hsin-Min Natl Chiao Tung Univ Dept Elect & Comp Engn Hsinchu Taiwan Acad Sinica Res Ctr Informat Technol Innovat Taipei Taiwan Acad Sinica Inst Informat Sci Taipei Taiwan
Owing to the recent advancements in deep learning technology, the performance of voice conversion (VC) in terms of quality and similarity has significantly improved. However, complex computation is generally required ... 详细信息
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Sage: Practical and Scalable ML-Driven Performance Debugging in Microservices  21
Sage: Practical and Scalable ML-Driven Performance Debugging...
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26th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
作者: Gan, Yu Liang, Mingyu Dev, Sundar Lo, David Delimitrou, Christina Cornell Univ Ithaca NY 14853 USA Google Sunnyvale CA USA
Cloud applications are increasingly shifting from large monolithic services to complex graphs of loosely-coupled microservices. Despite the advantages of modularity and elasticity microservices offer, they also compli... 详细信息
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Global-Local Item Embedding for Temporal Set Prediction  21
Global-Local Item Embedding for Temporal Set Prediction
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15th ACM Conference on Recommender Systems (RECSYS)
作者: Jung, Seungjae Park, Young-Jin Jeong, Jisu Kim, Kyung-Min Kim, Hiun Kim, Minkyu Kwak, Hanock NAVER CLOVA Naver R&D Ctr Seongnam Si Gyeonggi Do South Korea NAVER CLOVA Naver R&D Ctr NAVER AI LAB Seongnam Si Gyeonggi Do South Korea NAVER CLOVA NAVER AI LAB Seongnam Si Gyeonggi Do South Korea NAVER CLOVA Seongnam Si Gyeonggi Do South Korea
Temporal set prediction is becoming increasingly important as many companies employ recommender systems in their online businesses, e.g., personalized purchase prediction of shopping baskets. While most previous techn... 详细信息
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3D POINT CLOUD GENERATION USING ADVERSARIAL TRAINING FOR LARGE-SCALE OUTDOOR SCENE
3D POINT CLOUD GENERATION USING ADVERSARIAL TRAINING FOR LAR...
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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Shinohara, Takayuki Xiu, Haoyi Matsuoka, Masashi Tokyo Inst Technol Dept Architecture & Bldg Engn Yokohama Kanagawa Japan
Three-dimensional (3D) point clouds are becoming an important part of the geospatial domain. During research on 3D point clouds, deep-learning models have been widely used for the classification and segmentation of 3D... 详细信息
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Gaussian Process Encoders: VAEs with Reliable Latent-Space Uncertainty
Gaussian Process Encoders: VAEs with Reliable Latent-Space U...
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21st Joint European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
作者: Butepage, Judith Maystre, Lucas Lalmas, Mounia Spotify Stockholm Sweden
variational autoencoders are a versatile class of deep latent variable models. They learn expressive latent representations of high dimensional data. However, the latent variance is not a reliable estimate of how unce... 详细信息
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It's LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment  21
It's LeVAsa not LevioSA! Latent Encodings for Valence-Arousa...
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3rd ACM India Joint International Conference on Data Science and Management of Data (CODS-COMAD)
作者: Nath, Surabhi S. Udandarao, Vishaal Shukla, Jainendra IIIT Delhi Delhi India
In recent years, great strides have been made in the field of affective computing. Several models have been developed to represent and quantify emotions. Two popular ones include (i) categorical models which represent... 详细信息
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Machine learning methods for generating high dimensional discrete datasets
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WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY 2022年 第2期12卷 e1450-e1450页
作者: Manco, Giuseppe Ritacco, Ettore Rullo, Antonino Sacca, Domenico Serra, Edoardo IICAR CNR Calabria Italy Univ Calabria DIMES Dept I-87036 Calabria Italy Boise State Univ Comp Sci Dept Boise ID 83725 USA
The development of platforms and techniques for emerging Big Data and Machine Learning applications requires the availability of real-life datasets. A possible solution is to synthesize datasets that reflect patterns ... 详细信息
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