暂无分享,去创建一个
Joshua B. Tenenbaum | William F. Whitney | Tejas D. Kulkarni | Michael Chang | J. Tenenbaum | Michael Chang | Michael B. Chang
[1] Y. J. Tejwani,et al. Robot vision , 1989, IEEE International Symposium on Circuits and Systems,.
[2] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[3] Marc'Aurelio Ranzato,et al. Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[5] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[6] Sami Romdhani,et al. A 3D Face Model for Pose and Illumination Invariant Face Recognition , 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.
[7] Jürgen Schmidhuber,et al. Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction , 2011, ICANN.
[8] Geoffrey E. Hinton,et al. Transforming Auto-Encoders , 2011, ICANN.
[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] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[12] Alex Graves,et al. Neural Turing Machines , 2014, ArXiv.
[13] Joshua B. Tenenbaum,et al. Deep Convolutional Inverse Graphics Network , 2015, NIPS.
[14] Joshua B. Tenenbaum,et al. Human-level concept learning through probabilistic program induction , 2015, Science.
[15] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[16] William F. Whitney. Disentangled Representations in Neural Models , 2016, ArXiv.
[17] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.