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We propose MAD-GAN, an intuitive generalization to the Generative Adversarial Networks (GANs) and its conditional variants to address the well known problem of mode collapse.
On information and sufficiency
S. Kullback and R. A. Leibler · 1951
Earlier work this paper cites.
Support vector machine learning for interdependent and structured output spaces
I. Tsochantaridis, T. Hofmann, T. Joachims, and Y. Altun · 2004
Earlier work this paper cites.
Pattern recognition and machine learning (information science and statistics), 1st edn. 2006. corr. 2nd printing edn
C. Bishop · 2007
Earlier work this paper cites.
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Cutting-plane training of structural SVMs
T. Joachims, T. Finley, and C. Yu · 2009
Earlier work this paper cites.
Understanding the difficulty of training deep feedforward neural networks
X. Glorot and Y. Bengio · 2010
Earlier work this paper cites.
Reading digits in natural images with unsupervised feature learning
Y. Netzer, T. Wang, A. Coates, A. Bissacco, B. Wu, and A. Y. Ng · 2011
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Auto-encoding variational bayes
D. Kingma and M. Welling · 2014
Earlier work this paper cites.
Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
Earlier work this paper cites.
Learning to protect communications with adversarial neural cryptography
M. Abadi and D. Andersen · 2016
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel · 2016
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Message passing multi-agent gans
A. Ghosh, V. Kulharia, and V. Namboodiri · 2016
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Coupled generative adversarial networks
M.-Y. Liu and O. Tuzel · 2016
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Context encoders: Feature learning by inpainting
D. Pathak, P. Krahenbuhl, J. Donahue, T. Darrell, and A. A. Efros · 2016
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Wasserstein gan
M. Arjovsky, S. Chintala, and L. Bottou · 2017
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Generalization and equilibrium in generative adversarial nets (gans)
S. Arora, R. Ge, Y. Liang, T. Ma, and Y. Zhang · 2017
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Began: Boundary equilibrium generative adversarial networks
D. Berthelot, T. Schumm, and L. Metz · 2017
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Mode regularized generative adversarial networks
T. Che, Y. Li, A. Jacob, Y. Bengio, and W. Li · 2017
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Generative multi-adversarial networks
I. Durugkar, I. Gemp, and S. Mahadevan · 2017
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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. Efros · 2017
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S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee · 2016
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Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Generating videos with scene dynamics
C. Vondrick, H. Pirsiavash, and A. Torralba · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
J. Wu, C. Zhang, T. Xue, B. Freeman, and J. Tenenbaum · 2016
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Generative visual manipulation on the natural image manifold
J.-Y. Zhu, P. Krähenbühl, E. Shechtman, and A. A. Efros · 2016
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Towards principled methods for training generative adversarial networks
M. Arjovsky and L. Bottou · 2017
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Gang of gans: Generative adversarial networks with maximum margin ranking
F. Juefei-Xu, V. N. Boddeti, and M. Savvides · 2017
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Contextual rnn-gans for abstract reasoning diagram generation
V. Kulharia, A. Ghosh, A. Mukerjee, V. Namboodiri, and M. Bansal · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2017
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Unrolled generative adversarial networks
L. Metz, B. Poole, D. Pfau, and J. Sohl-Dickstein · 2017
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Places: A 10 million image database for scene recognition
B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba · 2017
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