暂无分享,去创建一个
Jürgen Schmidhuber | Jonathan Masci | Faustino J. Gomez | Rupesh Kumar Srivastava | J. Schmidhuber | R. Srivastava | F. Gomez | Jonathan Masci
[1] Jürgen Schmidhuber,et al. A Local Learning Algorithm for Dynamic Feedforward and Recurrent Networks , 1989 .
[2] Geoffrey E. Hinton,et al. Adaptive Mixtures of Local Experts , 1991, Neural Computation.
[3] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[4] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[5] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[6] Geoffrey E. Hinton,et al. Semantic hashing , 2009, Int. J. Approx. Reason..
[7] Pascal Vincent,et al. The Manifold Tangent Classifier , 2011, NIPS.
[8] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[9] Jürgen Schmidhuber,et al. Self-Delimiting Neural Networks , 2012, ArXiv.
[10] Pascal Fua,et al. LDAHash: Improved Matching with Smaller Descriptors , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[12] Andrew L. Maas. Rectifier Nonlinearities Improve Neural Network Acoustic Models , 2013 .
[13] Sanjiv Kumar,et al. Learning Binary Codes for High-Dimensional Data Using Bilinear Projections , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Geoffrey E. Hinton,et al. On rectified linear units for speech processing , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[15] Ian J. Goodfellow,et al. Pylearn2: a machine learning research library , 2013, ArXiv.
[16] Kristen Grauman,et al. Learning Binary Hash Codes for Large-Scale Image Search , 2013, Machine Learning for Computer Vision.
[17] Yoshua Bengio,et al. Maxout Networks , 2013, ICML.
[18] Razvan Pascanu,et al. On the number of response regions of deep feed forward networks with piece-wise linear activations , 2013, 1312.6098.
[19] Jürgen Schmidhuber,et al. Compete to Compute , 2013, NIPS.
[20] Yoshua Bengio,et al. An Empirical Investigation of Catastrophic Forgeting in Gradient-Based Neural Networks , 2013, ICLR.
[21] Jürgen Schmidhuber,et al. Multimodal Similarity-Preserving Hashing , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Pierre Baldi,et al. The dropout learning algorithm , 2014, Artif. Intell..
[23] Guillermo Sapiro,et al. Sparse similarity-preserving hashing , 2013, ICLR.
[24] Trevor Darrell,et al. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.
[25] Yash Goyal,et al. CloudCV: Large-Scale Distributed Computer Vision as a Cloud Service , 2015, Mobile Cloud Visual Media Computing.