变分自编码器 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "变分自编码器" in Chinese language version.

refsWebsite

Global rank Chinese rank

14arxiv.org

69^th place

254^th place

12web.archive.org

1^st place

6semanticscholar.org

11^th place

332^nd place

6doi.org

2^nd place

23^rd place

3ieee.org

652^nd place

712^th place

3nih.gov

4^th place

5^th place

3mlr.press

low place

2worldcat.org

5^th place

12^th place

1google.com

163^rd place

188^th place

1thecvf.com

low place

1aaai.org

9,352^nd place

low place

1mit.edu

415^th place

500^th place

1lilianweng.github.io

low place

1openreview.net

low place

1neurips.cc

low place

1harvard.edu

18^th place

57^th place

aaai.org

ojs.aaai.org

Xu, Weidi; Sun, Haoze; Deng, Chao; Tan, Ying. Variational Autoencoder for Semi-Supervised Text Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 2017-02-12, 31 (1) [2023-02-24]. S2CID 2060721. doi:10.1609/aaai.v31i1.10966 . （原始内容存档于2021-06-16）（英语）.

arxiv.org

Dilokthanakul, Nat; Mediano, Pedro A. M.; Garnelo, Marta; Lee, Matthew C. H.; Salimbeni, Hugh; Arulkumaran, Kai; Shanahan, Murray. Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. 2017-01-13. arXiv:1611.02648  [cs.LG].
Hsu, Wei-Ning; Zhang, Yu; Glass, James. Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation. 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). December 2017: 16–23 [2023-02-24]. ISBN 978-1-5090-4788-8. S2CID 22681625. arXiv:1707.06265 . doi:10.1109/ASRU.2017.8268911. （原始内容存档于2021-08-28）.
Kingma, Diederik. Autoencoding Variational Bayes. 2013. arXiv:1312.6114  [stat.ML].
Kingma, Diederik P.; Welling, Max. Auto-Encoding Variational Bayes. 2014-05-01. arXiv:1312.6114  [stat.ML].
Rezende, Danilo Jimenez; Mohamed, Shakir; Wierstra, Daan. Stochastic Backpropagation and Approximate Inference in Deep Generative Models. International Conference on Machine Learning (PMLR). 2014-06-18: 1278–1286 [2023-02-24]. arXiv:1401.4082 . （原始内容存档于2023-02-24）（英语）.
Bengio, Yoshua; Courville, Aaron; Vincent, Pascal. Representation Learning: A Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013, 35 (8): 1798–1828 [2023-02-24]. ISSN 1939-3539. PMID 23787338. S2CID 393948. arXiv:1206.5538 . doi:10.1109/TPAMI.2013.50. （原始内容存档于2021-06-27）.
Kingma, Diederik P.; Rezende, Danilo J.; Mohamed, Shakir; Welling, Max. Semi-Supervised Learning with Deep Generative Models. 2014-10-31. arXiv:1406.5298  [cs.LG].
Burgess, Christopher P.; Higgins, Irina; Pal, Arka; Matthey, Loic; Watters, Nick; Desjardins, Guillaume; Lerchner, Alexander. Understanding disentangling in β-VAE. 2018-04-10. arXiv:1804.03599  [stat.ML].
Dai, Bin; Wipf, David. Diagnosing and Enhancing VAE Models. 2019-10-30. arXiv:1903.05789  [cs.LG].
Dorta, Garoe; Vicente, Sara; Agapito, Lourdes; Campbell, Neill D. F.; Simpson, Ivor. Training VAEs Under Structured Residuals. 2018-07-31. arXiv:1804.01050  [stat.ML].
Tomczak, Jakub; Welling, Max. VAE with a VampPrior. International Conference on Artificial Intelligence and Statistics (PMLR). 2018-03-31: 1214–1223 [2023-02-24]. arXiv:1705.07120 . （原始内容存档于2021-06-24）（英语）.
Razavi, Ali; Oord, Aaron van den; Vinyals, Oriol. Generating Diverse High-Fidelity Images with VQ-VAE-2. 2019-06-02. arXiv:1906.00446  [cs.LG].
Larsen, Anders Boesen Lindbo; Sønderby, Søren Kaae; Larochelle, Hugo; Winther, Ole. Autoencoding beyond pixels using a learned similarity metric. International Conference on Machine Learning (PMLR). 2016-06-11: 1558–1566 [2023-02-24]. arXiv:1512.09300 . （原始内容存档于2021-05-17）（英语）.
Bao, Jianmin; Chen, Dong; Wen, Fang; Li, Houqiang; Hua, Gang. CVAE-GAN: Fine-Grained Image Generation Through Asymmetric Training. 2017. arXiv:1703.10155  [cs.CV]. cite arXiv模板填写了不支持的参数 (帮助)

doi.org

Pinheiro Cinelli, Lucas; et al. Variational Autoencoder. Variational Methods for Machine Learning with Applications to Deep Networks. Springer. 2021: 111–149. ISBN 978-3-030-70681-4. S2CID 240802776. doi:10.1007/978-3-030-70679-1_5.
Hsu, Wei-Ning; Zhang, Yu; Glass, James. Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation. 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). December 2017: 16–23 [2023-02-24]. ISBN 978-1-5090-4788-8. S2CID 22681625. arXiv:1707.06265 . doi:10.1109/ASRU.2017.8268911. （原始内容存档于2021-08-28）.
Xu, Weidi; Sun, Haoze; Deng, Chao; Tan, Ying. Variational Autoencoder for Semi-Supervised Text Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 2017-02-12, 31 (1) [2023-02-24]. S2CID 2060721. doi:10.1609/aaai.v31i1.10966 . （原始内容存档于2021-06-16）（英语）.
Kameoka, Hirokazu; Li, Li; Inoue, Shota; Makino, Shoji. Supervised Determined Source Separation with Multichannel Variational Autoencoder. Neural Computation. 2019-09-01, 31 (9): 1891–1914 [2023-02-24]. PMID 31335290. S2CID 198168155. doi:10.1162/neco_a_01217. （原始内容存档于2021-06-16）.
Bengio, Yoshua; Courville, Aaron; Vincent, Pascal. Representation Learning: A Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013, 35 (8): 1798–1828 [2023-02-24]. ISSN 1939-3539. PMID 23787338. S2CID 393948. arXiv:1206.5538 . doi:10.1109/TPAMI.2013.50. （原始内容存档于2021-06-27）.
Gao, Rui; Hou, Xingsong; Qin, Jie; Chen, Jiaxin; Liu, Li; Zhu, Fan; Zhang, Zhao; Shao, Ling. Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Transactions on Image Processing. 2020, 29: 3665–3680 [2023-02-24]. Bibcode:2020ITIP...29.3665G. ISSN 1941-0042. PMID 31940538. S2CID 210334032. doi:10.1109/TIP.2020.2964429. （原始内容存档于2021-06-28）.

google.com

Pinheiro Cinelli, Lucas; et al. Variational Autoencoder. Variational Methods for Machine Learning with Applications to Deep Networks. Springer. 2021: 111–149. ISBN 978-3-030-70681-4. S2CID 240802776. doi:10.1007/978-3-030-70679-1_5.

harvard.edu

ui.adsabs.harvard.edu

Gao, Rui; Hou, Xingsong; Qin, Jie; Chen, Jiaxin; Liu, Li; Zhu, Fan; Zhang, Zhao; Shao, Ling. Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Transactions on Image Processing. 2020, 29: 3665–3680 [2023-02-24]. Bibcode:2020ITIP...29.3665G. ISSN 1941-0042. PMID 31940538. S2CID 210334032. doi:10.1109/TIP.2020.2964429. （原始内容存档于2021-06-28）.

ieee.org

ieeexplore.ieee.org

Hsu, Wei-Ning; Zhang, Yu; Glass, James. Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation. 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). December 2017: 16–23 [2023-02-24]. ISBN 978-1-5090-4788-8. S2CID 22681625. arXiv:1707.06265 . doi:10.1109/ASRU.2017.8268911. （原始内容存档于2021-08-28）.
Bengio, Yoshua; Courville, Aaron; Vincent, Pascal. Representation Learning: A Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013, 35 (8): 1798–1828 [2023-02-24]. ISSN 1939-3539. PMID 23787338. S2CID 393948. arXiv:1206.5538 . doi:10.1109/TPAMI.2013.50. （原始内容存档于2021-06-27）.
Gao, Rui; Hou, Xingsong; Qin, Jie; Chen, Jiaxin; Liu, Li; Zhu, Fan; Zhang, Zhao; Shao, Ling. Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Transactions on Image Processing. 2020, 29: 3665–3680 [2023-02-24]. Bibcode:2020ITIP...29.3665G. ISSN 1941-0042. PMID 31940538. S2CID 210334032. doi:10.1109/TIP.2020.2964429. （原始内容存档于2021-06-28）.

lilianweng.github.io

From Autoencoder to Beta-VAE. Lil'Log. 2018-08-12 [2023-02-24]. （原始内容存档于2021-05-14）（英语）.

mit.edu

direct.mit.edu

Kameoka, Hirokazu; Li, Li; Inoue, Shota; Makino, Shoji. Supervised Determined Source Separation with Multichannel Variational Autoencoder. Neural Computation. 2019-09-01, 31 (9): 1891–1914 [2023-02-24]. PMID 31335290. S2CID 198168155. doi:10.1162/neco_a_01217. （原始内容存档于2021-06-16）.

mlr.press

proceedings.mlr.press

Rezende, Danilo Jimenez; Mohamed, Shakir; Wierstra, Daan. Stochastic Backpropagation and Approximate Inference in Deep Generative Models. International Conference on Machine Learning (PMLR). 2014-06-18: 1278–1286 [2023-02-24]. arXiv:1401.4082 . （原始内容存档于2023-02-24）（英语）.
Tomczak, Jakub; Welling, Max. VAE with a VampPrior. International Conference on Artificial Intelligence and Statistics (PMLR). 2018-03-31: 1214–1223 [2023-02-24]. arXiv:1705.07120 . （原始内容存档于2021-06-24）（英语）.
Larsen, Anders Boesen Lindbo; Sønderby, Søren Kaae; Larochelle, Hugo; Winther, Ole. Autoencoding beyond pixels using a learned similarity metric. International Conference on Machine Learning (PMLR). 2016-06-11: 1558–1566 [2023-02-24]. arXiv:1512.09300 . （原始内容存档于2021-05-17）（英语）.

neurips.cc

proceedings.neurips.cc

Sohn, Kihyuk; Lee, Honglak; Yan, Xinchen. Learning Structured Output Representation using Deep Conditional Generative Models (PDF). 2015-01-01 [2023-02-24]. （原始内容存档 (PDF)于2021-07-09）（英语）.

nih.gov

ncbi.nlm.nih.gov

Kameoka, Hirokazu; Li, Li; Inoue, Shota; Makino, Shoji. Supervised Determined Source Separation with Multichannel Variational Autoencoder. Neural Computation. 2019-09-01, 31 (9): 1891–1914 [2023-02-24]. PMID 31335290. S2CID 198168155. doi:10.1162/neco_a_01217. （原始内容存档于2021-06-16）.
Bengio, Yoshua; Courville, Aaron; Vincent, Pascal. Representation Learning: A Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013, 35 (8): 1798–1828 [2023-02-24]. ISSN 1939-3539. PMID 23787338. S2CID 393948. arXiv:1206.5538 . doi:10.1109/TPAMI.2013.50. （原始内容存档于2021-06-27）.
Gao, Rui; Hou, Xingsong; Qin, Jie; Chen, Jiaxin; Liu, Li; Zhu, Fan; Zhang, Zhao; Shao, Ling. Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Transactions on Image Processing. 2020, 29: 3665–3680 [2023-02-24]. Bibcode:2020ITIP...29.3665G. ISSN 1941-0042. PMID 31940538. S2CID 210334032. doi:10.1109/TIP.2020.2964429. （原始内容存档于2021-06-28）.

openreview.net

Higgins, Irina; Matthey, Loic; Pal, Arka; Burgess, Christopher; Glorot, Xavier; Botvinick, Matthew; Mohamed, Shakir; Lerchner, Alexander. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. 2016-11-04 [2023-02-24]. （原始内容存档于2021-07-20）（英语）.

semanticscholar.org

api.semanticscholar.org

Pinheiro Cinelli, Lucas; et al. Variational Autoencoder. Variational Methods for Machine Learning with Applications to Deep Networks. Springer. 2021: 111–149. ISBN 978-3-030-70681-4. S2CID 240802776. doi:10.1007/978-3-030-70679-1_5.
Hsu, Wei-Ning; Zhang, Yu; Glass, James. Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation. 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). December 2017: 16–23 [2023-02-24]. ISBN 978-1-5090-4788-8. S2CID 22681625. arXiv:1707.06265 . doi:10.1109/ASRU.2017.8268911. （原始内容存档于2021-08-28）.
Xu, Weidi; Sun, Haoze; Deng, Chao; Tan, Ying. Variational Autoencoder for Semi-Supervised Text Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 2017-02-12, 31 (1) [2023-02-24]. S2CID 2060721. doi:10.1609/aaai.v31i1.10966 . （原始内容存档于2021-06-16）（英语）.
Kameoka, Hirokazu; Li, Li; Inoue, Shota; Makino, Shoji. Supervised Determined Source Separation with Multichannel Variational Autoencoder. Neural Computation. 2019-09-01, 31 (9): 1891–1914 [2023-02-24]. PMID 31335290. S2CID 198168155. doi:10.1162/neco_a_01217. （原始内容存档于2021-06-16）.
Bengio, Yoshua; Courville, Aaron; Vincent, Pascal. Representation Learning: A Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013, 35 (8): 1798–1828 [2023-02-24]. ISSN 1939-3539. PMID 23787338. S2CID 393948. arXiv:1206.5538 . doi:10.1109/TPAMI.2013.50. （原始内容存档于2021-06-27）.
Gao, Rui; Hou, Xingsong; Qin, Jie; Chen, Jiaxin; Liu, Li; Zhu, Fan; Zhang, Zhao; Shao, Ling. Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Transactions on Image Processing. 2020, 29: 3665–3680 [2023-02-24]. Bibcode:2020ITIP...29.3665G. ISSN 1941-0042. PMID 31940538. S2CID 210334032. doi:10.1109/TIP.2020.2964429. （原始内容存档于2021-06-28）.

thecvf.com

openaccess.thecvf.com

Ehsan Abbasnejad, M.; Dick, Anthony; van den Hengel, Anton. Infinite Variational Autoencoder for Semi-Supervised Learning. 2017: 5888–5897 [2023-02-24]. （原始内容存档于2021-06-24）.

web.archive.org

Hsu, Wei-Ning; Zhang, Yu; Glass, James. Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation. 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). December 2017: 16–23 [2023-02-24]. ISBN 978-1-5090-4788-8. S2CID 22681625. arXiv:1707.06265 . doi:10.1109/ASRU.2017.8268911. （原始内容存档于2021-08-28）.
Ehsan Abbasnejad, M.; Dick, Anthony; van den Hengel, Anton. Infinite Variational Autoencoder for Semi-Supervised Learning. 2017: 5888–5897 [2023-02-24]. （原始内容存档于2021-06-24）.
Xu, Weidi; Sun, Haoze; Deng, Chao; Tan, Ying. Variational Autoencoder for Semi-Supervised Text Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 2017-02-12, 31 (1) [2023-02-24]. S2CID 2060721. doi:10.1609/aaai.v31i1.10966 . （原始内容存档于2021-06-16）（英语）.
Kameoka, Hirokazu; Li, Li; Inoue, Shota; Makino, Shoji. Supervised Determined Source Separation with Multichannel Variational Autoencoder. Neural Computation. 2019-09-01, 31 (9): 1891–1914 [2023-02-24]. PMID 31335290. S2CID 198168155. doi:10.1162/neco_a_01217. （原始内容存档于2021-06-16）.
From Autoencoder to Beta-VAE. Lil'Log. 2018-08-12 [2023-02-24]. （原始内容存档于2021-05-14）（英语）.
Rezende, Danilo Jimenez; Mohamed, Shakir; Wierstra, Daan. Stochastic Backpropagation and Approximate Inference in Deep Generative Models. International Conference on Machine Learning (PMLR). 2014-06-18: 1278–1286 [2023-02-24]. arXiv:1401.4082 . （原始内容存档于2023-02-24）（英语）.
Bengio, Yoshua; Courville, Aaron; Vincent, Pascal. Representation Learning: A Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013, 35 (8): 1798–1828 [2023-02-24]. ISSN 1939-3539. PMID 23787338. S2CID 393948. arXiv:1206.5538 . doi:10.1109/TPAMI.2013.50. （原始内容存档于2021-06-27）.
Higgins, Irina; Matthey, Loic; Pal, Arka; Burgess, Christopher; Glorot, Xavier; Botvinick, Matthew; Mohamed, Shakir; Lerchner, Alexander. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. 2016-11-04 [2023-02-24]. （原始内容存档于2021-07-20）（英语）.
Sohn, Kihyuk; Lee, Honglak; Yan, Xinchen. Learning Structured Output Representation using Deep Conditional Generative Models (PDF). 2015-01-01 [2023-02-24]. （原始内容存档 (PDF)于2021-07-09）（英语）.
Tomczak, Jakub; Welling, Max. VAE with a VampPrior. International Conference on Artificial Intelligence and Statistics (PMLR). 2018-03-31: 1214–1223 [2023-02-24]. arXiv:1705.07120 . （原始内容存档于2021-06-24）（英语）.
Larsen, Anders Boesen Lindbo; Sønderby, Søren Kaae; Larochelle, Hugo; Winther, Ole. Autoencoding beyond pixels using a learned similarity metric. International Conference on Machine Learning (PMLR). 2016-06-11: 1558–1566 [2023-02-24]. arXiv:1512.09300 . （原始内容存档于2021-05-17）（英语）.
Gao, Rui; Hou, Xingsong; Qin, Jie; Chen, Jiaxin; Liu, Li; Zhu, Fan; Zhang, Zhao; Shao, Ling. Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Transactions on Image Processing. 2020, 29: 3665–3680 [2023-02-24]. Bibcode:2020ITIP...29.3665G. ISSN 1941-0042. PMID 31940538. S2CID 210334032. doi:10.1109/TIP.2020.2964429. （原始内容存档于2021-06-28）.

worldcat.org

Bengio, Yoshua; Courville, Aaron; Vincent, Pascal. Representation Learning: A Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013, 35 (8): 1798–1828 [2023-02-24]. ISSN 1939-3539. PMID 23787338. S2CID 393948. arXiv:1206.5538 . doi:10.1109/TPAMI.2013.50. （原始内容存档于2021-06-27）.
Gao, Rui; Hou, Xingsong; Qin, Jie; Chen, Jiaxin; Liu, Li; Zhu, Fan; Zhang, Zhao; Shao, Ling. Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Transactions on Image Processing. 2020, 29: 3665–3680 [2023-02-24]. Bibcode:2020ITIP...29.3665G. ISSN 1941-0042. PMID 31940538. S2CID 210334032. doi:10.1109/TIP.2020.2964429. （原始内容存档于2021-06-28）.