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Significant strides have been made toward designing better generative models in recent years.
Approximating covering and packing problems: set cover, vertex cover, independent set, and related problems
Hochbaum, D. S · 1997
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Combinatorial sketching for finite programs
Solar-Lezama, A., Tancau, L., Bodik, R., Seshia, S., and Saraswat, V · 2006
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Spatial pattern templates for recognition of objects with regular structure
Tyleček, R. and Šára, R · 2013
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Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y · 2014
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Auto-encoding variational bayes
Kingma, D. P. and Welling, M · 2014
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Unsupervised learning by program synthesis
Ellis, K., Solar-Lezama, A., and Tenenbaum, J · 2015
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Human-level concept learning through probabilistic program induction
Lake, B. M., Salakhutdinov, R., and Tenenbaum, J. B · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, A., Metz, L., and Chintala, S · 2015
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Falling rule lists
Wang, F. and Rudin, C · 2015
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Neural module networks
Andreas, J., Rohrbach, M., Darrell, T., and Klein, D · 2016
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Learning texture manifolds with the periodic spatial GAN
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A neural representation of sketch drawings
Ha, D. and Eck, D · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Globally and locally consistent image completion
IIzuka, S., Simo-Serra, E., and Ishikawa, H · 2017
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Image-to-image translation with conditional adversarial networks
Verifiable reinforcement learning via policy extraction
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Probabilistic neural programmed networks for scene generation
Deng, Z., Chen, J., Fu, Y., and Mori, G · 2018
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The challenge of realistic music generation: modelling raw audio at scale
Dieleman, S., van den Oord, A., and Simonyan, K · 2018
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Learning to infer graphics programs from hand-drawn images
Ellis, K., Ritchie, D., Solar-Lezama, A., and Tenenbaum, J · 2018
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Selecting representative examples for program synthesis
Pu, Y., Miranda, Z., Solar-Lezama, A., and Kaelbling, L · 2018
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Houdini: Lifelong learning as program synthesis
Valkov, L., Chaudhari, D., Srivastava, A., Sutton, C., and Chaudhuri, S · 2018
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Isola, P., Zhu, J.-Y., Zhou, T., and Efros, A. A · 2017
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Texture synthesis with spatial generative adversarial networks
Jetchev, N., Bergmann, U., and Vollgraf, R · 2017
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Towards deeper understanding of variational autoencoding models
Zhao, S., Song, J., and Ermon, S · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.-Y., Park, T., and Efros, A · 2017
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Programmatically interpretable reinforcement learning
Verma, A., Murali, V., Singh, R., Kohli, P., and Chaudhuri, S · 2018
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Texturegan: Controlling deep image synthesis with texture patches
Xian, W., Sangkloy, P., Agrawal, V., Raj, A., Lu, J., Fang, C., Yu, F., and Hays, J · 2018
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