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Deep neural network models trained on large labeled datasets are the state-of-the-art in a large variety of computer vision tasks.
The mnist database of handwritten digits, 1998
Yann LeCun, Corinna Cortes, and Christopher JC Burges · 1998
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Principled hybrids of generative and discriminative models
Julia A. Lasserre, Christopher M. Bishop, and Thomas P. Minka · 2006
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Semi-supervised classification with hybrid generative/discriminative methods
Gregory Druck, Chris Pal, Andrew McCallum, and Xiaojin Zhu · 2007
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Strictly proper scoring rules, prediction, and estimation
Tilmann Gneiting and Adrian E Raftery · 2007
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The joint manifold model for semi-supervised multi-valued regression
Ramanan Navaratnam, Andrew W Fitzgibbon, and Roberto Cipolla · 2007
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Multi-pie
Ralph Gross, Iain Matthews, Jeffrey Cohn, Takeo Kanade, and Simon Baker · 2010
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton · 2010
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Reading digits in natural images with unsupervised feature learning
Yuval Netzer, Tao Wang, Adam Coates, Alessandro Bissacco, Bo Wu, and Andrew Y Ng · 2011
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Face detection, pose estimation, and landmark localization in the wild
Xiangxin Zhu and Deva Ramanan · 2012
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Supervised descent method and its applications to face alignment
Xuehan Xiong and Fernando De la Torre · 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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Semi-Supervised Learning with Deep Generative Models
Diederik P Kingma, Danilo J Rezende, Shakir Mohamed, and Max Welling · 2014
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Stochastic backpropagation and approximate inference in deep generative models
D J Rezende, S Mohamed, and D Wierstra · 2014
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Real-time continuous pose recovery of human hands using convolutional networks
Jonathan Tompson, Murphy Stein, Yann Lecun, and Ken Perlin · 2014
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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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Draw: A recurrent neural network for image generation
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra · 2015
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Improving Variational Inference with Inverse Autoregressive Flow
Diederik P Kingma, Tim Salimans, and Max Welling · 2016
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Discriminative regularization for generative models
Alex Lamb, Vincent Dumoulin, and Aaron Courville · 2016
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Unrolled generative adversarial networks
Luke Metz, Ben Poole, David Pfau, and Jascha Sohl-Dickstein · 2016
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f-GAN: Training generative neural samplers using variational divergence minimization
Sebastian Nowozin, Botond Cseke, and Ryota Tomioka · 2016
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Generative adversarial text to image synthesis
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 2016
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Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Auxiliary Deep Generative Models
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, and Ole Winther · 2015
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Hands deep in deep learning for hand pose estimation
Markus Oberweger, Paul Wohlhart, and Vincent Lepetit · 2015
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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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Chainer: a next-generation open source framework for deep learning
Seiya Tokui, Kenta Oono, Shohei Hido, and Justin Clayton · 2015
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Regressing a 3d face shape from a single image
Sergey Tulyakov and Nicu Sebe · 2015
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Tutorial on Variational Autoencoders
Carl Doersch · 2016
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Amortised map inference for image super-resolution
Casper Kaae Sønderby, Jose Caballero, Lucas Theis, Wenzhe Shi, and Ferenc Huszár · 2016
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Mnemonic descent method: A recurrent process applied for end-to-end face alignment
George Trigeorgis, Patrick Snape, Mihalis A Nicolaou, Epameinondas Antonakos, and Stefanos Zafeiriou · 2016
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Texture networks: Feed-forward synthesis of textures and stylized images
Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, and Victor Lempitsky · 2016
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Generating videos with scene dynamics
Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T Freeman, and Joshua B Tenenbaum · 2016
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