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“Gradient-based learning applied to document recognition,”
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner, · 1998
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“Tensor decompositions and applications,”
Tamara G Kolda and Brett W Bader, · 2009
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“Online dictionary learning for sparse coding,”
Julien Mairal, Francis Bach, Jean Ponce, and Guillermo Sapiro, · 2009
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“Supervised dictionary learning,”
Julien Mairal, Jean Ponce, Guillermo Sapiro, Andrew Zisserman, and Francis R Bach, · 2009
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“Learning multiple layers of features from tiny images,”
Alex Krizhevsky and Geoffrey Hinton, · 2009
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“Image super-resolution via sparse representation,”
Jianchao Yang, John Wright, Thomas S Huang, and Yi Ma, · 2010
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“The pascal visual object classes (voc) challenge,”
Mark Everingham, Luc Gool, Christopher K. Williams, John Winn, and Andrew Zisserman, · 2010
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“Facial recognition using tensor-tensor decompositions,”
Ning Hao, Misha E Kilmer, Karen Braman, and Randy C Hoover, · 2013
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“Generative adversarial nets,”
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio, · 2014
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“Auto-encoding variational bayes,”
Diederik P Kingma and Max Welling, · 2014
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“Proximal algorithms,”
Neal Parikh, Stephen Boyd, et al., · 2014
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“Unsupervised representation learning with deep convolutional generative adversarial networks,”
Alec Radford, Luke Metz, and Soumith Chintala, · 2015
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“Deep generative image models using a laplacian pyramid of adversarial networks,”
Emily L Denton, Soumith Chintala, Rob Fergus, et al., · 2015
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“Tensor-based dictionary learning for dynamic tomographic reconstruction,”
Shengqi Tan, Yanbo Zhang, Ge Wang, Xuanqin Mou, Guohua Cao, Zhifang Wu, and Hengyong Yu, · 2015
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“Empirical evaluation of rectified activations in convolutional network,”
Bing Xu, Naiyan Wang, Tianqi Chen, and Mu Li, · 2015
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“Rethinking the inception architecture for computer vision,”
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna, · 2016
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“Photo-realistic single image super-resolution using a generative adversarial network,”
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al., · 2017
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“Unpaired image-to-image translation using cycle-consistent adversarial networks,”
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros, · 2017
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“Image-to-image translation with conditional adversarial networks,”
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros, · 2017
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“Attngan: Fine-grained text to image generation with attentional generative adversarial networks,”
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He, · 2017
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“Tensr: Multi-dimensional tensor sparse representation,”
Na Qi, Yunhui Shi, Xiaoyan Sun, and Baocai Yin, · 2016
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“On the expressive power of deep learning: A tensor analysis,”
Nadav Cohen, Or Sharir, and Amnon Shashua, · 2016
Cited alongside, same era.
“Tractable generative convolutional arithmetic circuits,”
Or Sharir, Ronen Tamari, Nadav Cohen, and Amnon Shashua, · 2016
Cited alongside, same era.
“Adversarial autoencoders,”
Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow, and Brendan Frey, · 2016
Cited alongside, same era.
“Improved techniques for training gans,”
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen, · 2016
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“A hierarchical latent variable encoder-decoder model for generating dialogues,”
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C Courville, and Yoshua Bengio, · 2017
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“Photo-realistic single image super-resolution using a generative adversarial network.,”
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al., · 2017
Later among the works it cites.
“Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks,”
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaolei Huang, Xiaogang Wang, and Dimitris Metaxas, · 2017
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“Efficient multi-dimensional tensor sparse coding using t-linear combinations,”
Jiang Fei, Xiao-Yang Liu, Hongtao Lu, and Ruimin Shen, · 2018
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“A data-driven avo inversion method via learned dictionaries and sparse representation,”
Bin She, Yaojun Wang, Jiandong Liang, Zhining Liu, Chengyun Song, and Guangmin Hu, · 2018
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