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We replace the output layer of deep neural nets, typically the softmax function, by a novel interpolating function.
The mnist database of handwritten digits
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A fast learning algorithm for deep belief nets
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Greedy layer-wise training of deep networks
Y. Bengio, P. Lamblin, D. Popovici, and H. Larochelle · 2007
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong., R. Socher, J. Li, K. Li, and F. Li · 2009
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Rectified linear units improve restricted boltzmann machines
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Deep sparse rectifier neural networks
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Reading digits in natural images with unsupervised features learning
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Improving neural networks by preventing co-adaptation of feature detectors
G. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2012
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Imagenet classification with deep convolutional neural networks
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I. Goodfellow, D. Warde-Farley, M. Mirza, A. Courville, and Y. Bengio · 2013
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Deep learning using linear support vector machines
Y. Tang · 2013
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Regularization of neural networks using dropconnect
L. Wan, M. Zeiler, S. Zhang, Y. LeCun, and R. Fergus · 2013
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Learning activation functions to improve deep neural networks
F. Agostinelli, M. Hoffman, P. Sadowski, and P. Baldi · 2014
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Scalable nearest neighbor algorithms for high dimensional data
M. Muja and D. Lowe · 2014
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Very deep convolutional networks for large-scale image recognition
Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Deep networks with stochastic depth
G. Huang, Y. Sun, Z. Liu, D. Sedra, and K. WeinBerger · 2016
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Wide residual networks
S. Zagoruyko and N. Komodakis · 2016
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Multi-level residual networks from dynamical systems view
Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, and David Begert · 2017
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Dual path networks
Y. Chen, J. Li, H. Xiao, X. Jin, S. Yan, and J. Feng · 2017
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Densely connected convolutional networks
G. Huang, Z. Liu, K. Weinberger, and L. van der Maaten · 2017
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Binaryconnet: Training deep neural networks with binary weights
M. Courbariaux Y. Bengio and J. David · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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The limitations of deep learning in adversarial settings
N. Papernot, P. McDaniel, S. Jha, M. Fredrikson, Z. Celik, and A. Swami · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Z. Li and Z. Shi · 2017
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Automatic differentiation in pyTorch
A. Paszke and et al · 2017
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Weighted nonlocal Laplacian on interpolation from sparse data
Z. Shi, S. Osher, and W. Zhu · 2017
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LDMNet: Low dimensional manifold regularized neural networks
W. Zhu, Q. Qiu, J. Huang, R. Carderbank, G. Sapiro, and I. Daubechies · 2017
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The game theoretic p-laplacian and semi-supervised learning with few labels
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