暂无分享,去创建一个
Yann LeCun | Rob Fergus | David Eigen | Jason Tyler Rolfe | R. Fergus | Yann LeCun | D. Eigen | J. Rolfe
[1] Flexible , 1976 .
[2] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[3] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[4] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[5] Jürgen Schmidhuber,et al. Training Recurrent Networks by Evolino , 2007, Neural Computation.
[6] Richard G. Baraniuk,et al. Sparse Coding via Thresholding and Local Competition in Neural Circuits , 2008, Neural Computation.
[7] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[8] J. Schmidhuber,et al. A Novel Connectionist System for Unconstrained Handwriting Recognition , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[10] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[11] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[12] Geoffrey E. Hinton,et al. Temporal-Kernel Recurrent Neural Networks , 2010, Neural Networks.
[13] Yann LeCun,et al. Learning Fast Approximations of Sparse Coding , 2010, ICML.
[14] Andrew Y. Ng,et al. Reading Digits in Natural Images with Unsupervised Feature Learning , 2011 .
[15] Luca Maria Gambardella,et al. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Flexible, High Performance Convolutional Neural Networks for Image Classification , 2022 .
[16] Andrew Y. Ng,et al. The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization , 2011, ICML.
[17] Andrew Y. Ng,et al. Parsing Natural Scenes and Natural Language with Recursive Neural Networks , 2011, ICML.
[18] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[19] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.
[20] Yann LeCun,et al. Convolutional neural networks applied to house numbers digit classification , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[21] Andrew Y. Ng,et al. Convolutional-Recursive Deep Learning for 3D Object Classification , 2012, NIPS.
[22] Yann LeCun,et al. Regularization of Neural Networks using DropConnect , 2013, ICML.
[23] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[24] Yoshua Bengio,et al. Multi-Prediction Deep Boltzmann Machines , 2013, NIPS.
[25] Yann LeCun,et al. Discriminative Recurrent Sparse Auto-Encoders , 2013, ICLR.
[26] Yoshua Bengio,et al. Maxout Networks , 2013, ICML.
[27] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[28] R. Fergus,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.