暂无分享,去创建一个
Nitish Srivastava | Geoffrey E. Hinton | Ruslan Salakhutdinov | Ilya Sutskever | Alex Krizhevsky | R. Salakhutdinov | A. Krizhevsky | Ilya Sutskever | Nitish Srivastava
[1] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[2] M. V. Rossum,et al. In Neural Computation , 2022 .
[3] Geoffrey E. Hinton,et al. Adaptive Mixtures of Local Experts , 1991, Neural Computation.
[4] Proceedings of the IEEE , 2018, IEEE Journal of Emerging and Selected Topics in Power Electronics.
[5] Geoffrey E. Hinton,et al. Bayesian Learning for Neural Networks , 1995 .
[6] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[7] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[8] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[9] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[10] Ronald,et al. Learning representations by backpropagating errors , 2004 .
[11] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[12] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[13] Adi Livnat,et al. A mixability theory for the role of sex in evolution , 2008, Proceedings of the National Academy of Sciences.
[14] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[15] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[16] R. Rosenfeld. Nature , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.
[17] Luca Maria Gambardella,et al. Deep, Big, Simple Neural Nets for Handwritten Digit Recognition , 2010, Neural Computation.
[18] Andrew Y. Ng,et al. The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization , 2011, ICML.
[19] Florent Perronnin,et al. High-dimensional signature compression for large-scale image classification , 2011, CVPR 2011.
[20] Dong Yu,et al. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[21] Geoffrey E. Hinton,et al. Acoustic Modeling Using Deep Belief Networks , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[22] Navdeep Jaitly,et al. Application of Pretrained Deep Neural Networks to Large Vocabulary Conversational Speech Recognition , 2012 .
[23] Yann LeCun,et al. Regularization of Neural Networks using DropConnect , 2013, ICML.