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Fast Neural Architecture Construction (NAC) is a method to construct deep network architectures by pruning and expansion of a base network.
Exuberant development of connections, and its possible permissive role in cortical evolution
Giorgio M. Innocenti. 1995 · 1995
Earlier work this paper cites.
Neurogenesis in the adult human hippocampus
Peter S. Eriksson, Ekaterina Perfilieva, Thomas Björk-Eriksson, Ann-Marie Alborn, Claes Nordborg, Daniel A. Peterson, and Fred H. Gage. 1998 · 1998
Earlier work this paper cites.
Apoptosis: A Review of Programmed Cell Death
Susan Elmore. 2007 · 2007
Earlier work this paper cites.
Neuroevolution: from architectures to learning
D. Floreano, P. Dürr, and C. Mattiussi. 2008 · 2008
Earlier work this paper cites.
Learning multiple layers of features from tiny images
A Krizhevsky and G Hinton. 2009 · 2009
Earlier work this paper cites.
Algorithms for Hyper-parameter Optimization. In Proceedings of the 24th International Conference on Neural Information Processing Systems (NIPS’11) . Curran Associates Inc., USA, 2546–2554
James Bergstra, Rémi Bardenet, Yoshua Bengio, and Balázs Kégl. 2011 · 2011
Earlier work this paper cites.
Random Search for Hyper-parameter Optimization
James Bergstra and Yoshua Bengio. 2012 · 2012
Earlier work this paper cites.
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler and Rob Fergus. 2013 · 2013
Earlier work this paper cites.
Neurogenesis during development of the vertebrate central nervous system
Judith TML Paridaen and Wieland B. Huttner. 2014 · 2014
Earlier work this paper cites.
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015 · 2015
Earlier work this paper cites.
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei. 2015 · 2015
Earlier work this paper cites.
Going Deeper with Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. 2015 · 2015
Earlier work this paper cites.
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker, Otkrist Gupta, Nikhil Naik, and Ramesh Raskar. 2016 · 2016
Earlier work this paper cites.
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet. 2016 · 2016
Earlier work this paper cites.
Highway and Residual Networks learn Unrolled Iterative Estimation
Klaus Greff, Rupesh Kumar Srivastava, and Jürgen Schmidhuber. 2016 · 2016
Earlier work this paper cites.
David Ha, Andrew M. Dai, and Quoc V. Le. 2016 · 2016
Cited alongside, same era.
Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, and Kilian Q. Weinberger. 2016 · 2016
Cited alongside, same era.
Pruning Filters for Efficient ConvNets
Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, and Hans Peter Graf. 2016 · 2016
Cited alongside, same era.
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning
Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, and Jan Kautz. 2016 · 2016
Cited alongside, same era.
Lingxi Xie and Alan L. Yuille. 2017 · 2017
Later among the works it cites.
Neural Architecture Search with Reinforcement Learning. In ICLR 2017
Barret Zoph and Quoc V. Le. 2017 · 2017
Later among the works it cites.
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le. 2017 · 2017
Later among the works it cites.
Effective Building Block Design for Deep Convolutional Neural Networks using Search
Jayanta K Dutta, Jiayi Liu, Unmesh Kurup, and Mohak Shah. 2018 · 2018
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AMLA: an AutoML frAmework for Neural Networks
Purushotham Kamath, Abhishek Singh, and Debo Dutta. 2018 · 2018
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Shreyas Saxena and Jakob Verbeek. 2016 · 2016
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SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock, Theodore Lim, James M. Ritchie, and Nick Weston. 2017 · 2017
Cited alongside, same era.
Efficient Architecture Search by Network Transformation
Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, and Jun Wang. 2017 · 2017
Cited alongside, same era.
Simple And Efficient Architecture Search for Convolutional Neural Networks
Thomas Elsken, Jan-Hendrik Metzen, and Frank Hutter. 2017 · 2017
Cited alongside, same era.
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando, Dylan Banarse, Charles Blundell, Yori Zwols, David Ha, Andrei A. Rusu, Alexander Pritzel, and Daan Wierstra. 2017 · 2017
Cited alongside, same era.
Progressive Neural Architecture Search
C. Liu, B. Zoph, J. Shlens, W. Hua, L.-J. Li, L. Fei-Fei, A. Yuille, J. Huang, and K. Murphy. 2017 · 2017
Cited alongside, same era.
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, and Koray Kavukcuoglu. 2017 · 2017
Cited alongside, same era.
DeepArchitect: Automatically Designing and Training Deep Architectures
Renato Negrinho and Geoff Gordon. 2017 · 2017
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Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider, Barnabás Póczos, and Eric Xing. 2018 · 2018
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H. Liu, K. Simonyan, and Y. Yang. 2018 · 2018
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Neural Architecture Optimization
R. Luo, F. Tian, T. Qin, E. Chen, and T.-Y. Liu. 2018 · 2018
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Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, and Balaraman Ravindran. 2018 · 2018
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Regularized Evolution for Image Classifier Architecture Search
Esteban Real, Alok Aggarwal, Yanping Huang, and Quoc V Le. 2018 · 2018
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Reducing Duplicate Filters in Deep Neural Networks
Aruni RoyChowdhury, Prakhar Sharma, Erik G. Learned-Miller, and Aruni Roy. 2018 · 2018
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Practical Block-wise Neural Network Architecture Generation
Zhao Zhong, Junjie Yan2, Wei Wu2, Jing Shao2, and Cheng-Lin Liu. 2018 · 2018
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