暂无分享,去创建一个
Xiang Wei | Wei Lu | Liqiang Wang | Boqing Gong | Zixia Liu | Boqing Gong | Liqiang Wang | W. Lu | Xiang Wei | Zixia Liu
[1] Léon Bottou,et al. Towards Principled Methods for Training Generative Adversarial Networks , 2017, ICLR.
[2] Timo Aila,et al. Temporal Ensembling for Semi-Supervised Learning , 2016, ICLR.
[3] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[4] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[5] John E. Hopcroft,et al. Stacked Generative Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Richard Nock,et al. f-GANs in an Information Geometric Nutshell , 2017, NIPS.
[7] David Berthelot,et al. BEGAN: Boundary Equilibrium Generative Adversarial Networks , 2017, ArXiv.
[8] C. Villani. Optimal Transport: Old and New , 2008 .
[9] Daan Wierstra,et al. Stochastic Backpropagation and Approximate Inference in Deep Generative Models , 2014, ICML.
[10] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[11] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Jun Zhu,et al. Triple Generative Adversarial Nets , 2017, NIPS.
[13] Harri Valpola,et al. Weight-averaged consistency targets improve semi-supervised deep learning results , 2017, ArXiv.
[14] Dilin Wang,et al. Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning , 2016, ArXiv.
[15] Jacob Abernethy,et al. On Convergence and Stability of GANs , 2018 .
[16] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[17] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[18] Richard S. Zemel,et al. Generative Moment Matching Networks , 2015, ICML.
[19] Yinda Zhang,et al. LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop , 2015, ArXiv.
[20] Yiming Yang,et al. MMD GAN: Towards Deeper Understanding of Moment Matching Network , 2017, NIPS.
[21] Tapani Raiko,et al. Semi-supervised Learning with Ladder Networks , 2015, NIPS.
[22] Philip Bachman,et al. Calibrating Energy-based Generative Adversarial Networks , 2017, ICLR.
[23] Abhishek Kumar,et al. Improved Semi-supervised Learning with GANs using Manifold Invariances , 2017, NIPS 2017.
[24] Jost Tobias Springenberg,et al. Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks , 2015, ICLR.
[25] Hui Jiang,et al. Generating images with recurrent adversarial networks , 2016, ArXiv.
[26] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[27] Shin Ishii,et al. Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Max Welling,et al. Semi-supervised Learning with Deep Generative Models , 2014, NIPS.
[29] Ruslan Salakhutdinov,et al. On the Quantitative Analysis of Decoder-Based Generative Models , 2016, ICLR.
[30] Alexei A. Efros,et al. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[31] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[32] O. Chapelle,et al. Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews] , 2009, IEEE Transactions on Neural Networks.
[33] Augustus Odena,et al. Semi-Supervised Learning with Generative Adversarial Networks , 2016, ArXiv.
[34] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[35] Yoshua Bengio,et al. Improving Generative Adversarial Networks with Denoising Feature Matching , 2016, ICLR.
[36] Zoubin Ghahramani,et al. Training generative neural networks via Maximum Mean Discrepancy optimization , 2015, UAI.
[37] Oriol Vinyals,et al. Towards Principled Unsupervised Learning , 2015, ArXiv.
[38] J. R.,et al. Quantitative analysis , 1892, Nature.
[39] Xiaojin Zhu,et al. Semi-Supervised Learning , 2010, Encyclopedia of Machine Learning.
[40] Guo-Jun Qi,et al. Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities , 2017, International Journal of Computer Vision.
[41] Jonathon Shlens,et al. Conditional Image Synthesis with Auxiliary Classifier GANs , 2016, ICML.
[42] Sebastian Nowozin,et al. f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization , 2016, NIPS.
[43] Rob Fergus,et al. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks , 2015, NIPS.
[44] Aaron C. Courville,et al. Adversarially Learned Inference , 2016, ICLR.