Výsledky vyhledávání - "autoencoder"

Autoencoder in Autoencoder Networks Autor Zhang, Changqing, Geng, Yu, Han, Zongbo, Liu, Yeqing, Fu, Huazhu, Hu, Qinghua

“… To address this issue, we propose a novel unsupervised multiview representation learning (UMRL) algorithm, termed autoencoder in autoencoder networks…”
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Autoencoder asset pricing models Autor Gu, Shihao, Kelly, Bryan, Xiu, Dacheng

“… – autoencoder neural networks – to incorporate information from covariates along with returns themselves…”
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AE2-Nets: Autoencoder in Autoencoder Networks Autor Zhang, Changqing, Liu, Yeqing, Fu, Huazhu

“… Differently, in this paper, we focus on unsupervised representation learning and propose a novel framework termed Autoencoder in Autoencoder Networks (AE^2-Nets…”
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Dirichlet Variational Autoencoder Autor Joo, Weonyoung, Lee, Wonsung, Park, Sungrae, Moon, Il-Chul

“…•This paper is a study on Dirichlet prior in variational autoencoder.•Our model outperforms baseline variational autoencoders in the perspective of loglikelihood…”
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Blind Denoising Autoencoder Autor Majumdar, Angshul

“… But there has been no autoencoder-based solution for the said blind denoising approach. So far, autoencoder-based denoising formulations have learned the model on a separate training data and have used the learned model to denoise test samples…”
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Convolutional Autoencoder for Spectral-Spatial Hyperspectral Unmixing Autor Palsson, Burkni, Ulfarsson, Magnus O., Sveinsson, Johannes R.

“…). In this article, we present a new spectral-spatial linear mixture model and an associated estimation method based on a convolutional neural network autoencoder unmixing (CNNAEU…”
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Autoencoder for words Autor Liou, Cheng-Yuan, Cheng, Wei-Chen, Liou, Jiun-Wei, Liou, Daw-Ran

“…This paper presents a training method that encodes each word into a different vector in semantic space and its relation to low entropy coding. Elman network is…”
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Context Autoencoder for Self-supervised Representation Learning Autor Chen, Xiaokang, Ding, Mingyu, Wang, Xiaodi, Xin, Ying, Mo, Shentong, Wang, Yunhao, Han, Shumin, Luo, Ping, Zeng, Gang, Wang, Jingdong

“…We present a novel masked image modeling (MIM) approach, context autoencoder (CAE), for self-supervised representation pretraining…”
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DEVDAN: Deep evolving denoising autoencoder Autor Ashfahani, Andri, Pratama, Mahardhika, Lughofer, Edwin, Ong, Yew-Soon

“…The Denoising Autoencoder (DAE) enhances the flexibility of data stream method in exploiting unlabeled samples…”
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eVAE: Evolutionary Variational Autoencoder Autor Wu, Zhangkai, Cao, Longbing, Qi, Lei

“…Variational autoencoders (VAEs) are challenged by the imbalance between representation inference and task fitting caused by surrogate loss…”
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Financial portfolio optimization with online deep reinforcement learning and restricted stacked autoencoder—DeepBreath Autor Soleymani, Farzan, Paquet, Eric

“…•Extracting high-level features using restricted stacked autoencoder.•A convolutional neural network is employed to enforce the policy…”
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DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing Autor Su, Yuanchao, Li, Jun, Plaza, Antonio, Marinoni, Andrea, Gamba, Paolo, Chakravortty, Somdatta

“… In this paper, we develop a new technique for unsupervised unmixing which is based on a deep autoencoder network (DAEN…”
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Autoencoder-based network anomaly detection Autor Chen, Zhaomin, Yeo, Chai Kiat, Lee, Bu Sung, Lau, Chiew Tong

“… It is thus a challenging task to determine network anomaly more accurately. In this paper, we propose an Autoencoder-based network anomaly detection method…”
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Dual Contradistinctive Generative Autoencoder Autor Parmar, Gaurav, Li, Dacheng, Lee, Kwonjoon, Tu, Zhuowen

“…We present a new generative autoencoder model with dual contradistinctive losses to improve generative autoencoder that performs simultaneous inference (reconstruction) and synthesis (sampling…”
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Autoencoder and Its Various Variants Autor Zhai, Junhai, Zhang, Sufang, Chen, Junfen, He, Qiang

“…The concept of autoencoder was originally proposed by LeCun in 1987, early works on autoencoder were used for dimensionality reduction or feature learning…”
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Heterogeneous Hypergraph Variational Autoencoder for Link Prediction Autor Fan, Haoyi, Zhang, Fengbin, Wei, Yuxuan, Li, Zuoyong, Zou, Changqing, Gao, Yue, Dai, Qionghai

“… of nodes, which tends to lead to a sub-optimal embedding result. This paper presents a method named Heterogeneous Hypergraph Variational Autoencoder (HeteHG-VAE…”
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Hyperspectral Anomaly Detection with Guided Autoencoder Autor Xiang, Pei, Ali, Shahzad, Jung, Soon Ki, Zhou, Huixin

“…Recently, autoencoder-based hyperspectral anomaly detection methods have demonstrated excellent performance on hyperspectral images (HSIs). The autoencoder (AE…”
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Crash data augmentation using variational autoencoder Autor Islam, Zubayer, Abdel-Aty, Mohamed, Cai, Qing, Yuan, Jinghui

“…•Variational Autoencoder (VAE) was used to generate millions of crash samples from only a limited number of training data…”
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Deep Clustering With Variational Autoencoder Autor Lim, Kart-Leong, Jiang, Xudong, Yi, Chenyu

“…An autoencoder that learns a latent space in an unsupervised manner has many applications in signal processing…”
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Audio based depression detection using Convolutional Autoencoder Autor Sardari, Sara, Nakisa, Bahareh, Rastgoo, Mohammed Naim, Eklund, Peter

“…•A novel audio-based depression detection system using Convolutional Autoencoder…”
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