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We develop a progressive training approach for neural networks which adaptively grows the network structure by splitting existing neurons to multiple off-springs.
Node splitting: A constructive algorithm for feed-forward neural networks
Wynne-Jones, Mike · 1992
Earlier work this paper cites.
Boosting neural networks
Schwenk, Holger and Bengio, Yoshua · 2000
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Evolving neural networks through augmenting topologies
Stanley, Kenneth O and Miikkulainen, Risto · 2002
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Convex neural networks
Bengio, Yoshua, Roux, Nicolas L, Vincent, Pascal, Delalleau, Olivier, and Marcotte, Patrice · 2006
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Random features for large-scale kernel machines
Rahimi, Ali and Recht, Benjamin · 2007
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Optimal transport: old and new , volume 338
Villani, Cédric · 2008
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Super-samples from kernel herding
Chen, Yutian, Welling, Max, and Smola, Alex · 2010
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On the equivalence between herding and conditional gradient algorithms
Bach, Francis, Lacoste-Julien, Simon, and Obozinski, Guillaume · 2012
Earlier work this paper cites.
A kernel two-sample test
Gretton, Arthur, Borgwardt, Karsten M, Rasch, Malte J, Schölkopf, Bernhard, and Smola, Alexander · 2012
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Simonyan, Karen and Zisserman, Andrew · 2015
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Han, Song, Mao, Huizi, and Dally, William J · 2016
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Gradient descent only converges to minimizers
Lee, Jason D, Simchowitz, Max, Jordan, Michael I, and Recht, Benjamin · 2016
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Breaking the curse of dimensionality with convex neural networks
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
Howard, Andrew G, Zhu, Menglong, Chen, Bo, Kalenichenko, Dmitry, Wang, Weijun, Weyand, Tobias, Andreetto, Marco, and Adam, Hartwig · 2017
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Neural architecture search with reinforcement learning
Zoph, Barret and Le, Quoc V · 2017
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Proxylessnas: Direct neural architecture search on target task and hardware
Cai, Han, Zhu, Ligeng, and Han, Song · 2018
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On the global convergence of gradient descent for over-parameterized models using optimal transport
Chizat, Lenaic and Bach, Francis · 2018
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Deep learning for case-based reasoning through prototypes: A neural network that explains its predictions
Li, Oscar, Liu, Hao, Chen, Chaofan, and Rudin, Cynthia · 2018
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A mean field view of the landscape of two-layers neural networks
Mei, Song, Montanari, Andrea, and Nguyen, Phan-Minh · 2018
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Rethinking the value of network pruning
Liu, Zhuang, Sun, Mingjie, Zhou, Tinghui, Huang, Gao, and Darrell, Trevor
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Efficient neural architecture search via parameter sharing
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