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Current Neural Architecture Search techniques can suffer from a few shortcomings, including high computational cost, excessive bias from the search space, conceptual complexity or uncertain empirical benefits over random search.
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Rodrigo Pasti, Leandro Nunes de Castro, Guilherme Palermo Coelho, and Fernando Jose Von Zuben · 2010
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Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System
P. A. D. Castro and F. J. Von Zuben · 2011
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Convolutional neural network committees for handwritten character classification
D. C. Ciresan, U. Meier, L. M. Gambardella, and J. Schmidhuber · 2011
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Constructing Better Classifier Ensemble Based on Weighted Accuracy and Diversity Measure
X. Zeng, D. F. Wong, and L. S. Chao · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves
Tobias Domhan, Jost Tobias Springenberg, and Frank Hutter · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Convolutional Neural Fabrics
Shreyas Saxena and Jakob Verbeek · 2016
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Sergey Zagoruyko and Nikos Komodakis · 2016
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Net2net: Accelerating learning via knowledge transfer
Tianqi Chen, Ian Goodfellow, and Jonathon Shlens · 2016
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Network morphism
Tao Wei, Changhu Wang, Yong Rui, and Chang Wen Chen · 2016
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SGDR: Stochastic Gradient Descent with Warm Restarts
Ilya Loshchilov and Frank Hutter · 2016
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Neural Architecture Search with Reinforcement Learning
Barret Zoph and Quoc V. Le · 2017
Efficient Neural Architecture Search via Parameter Sharing
Hieu Pham, Melody Guan, Barret Zoph, Quoc Le, and Jeff Dean · 2018
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Understanding and Simplifying One-Shot Architecture Search
Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, and Quoc Le · 2018
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DARTS: Differentiable Architecture Search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2018
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Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le · 2018
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Practical block-wise neural network architecture generation
Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, and Cheng-Lin Liu · 2018
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Ppp-net: Platform-aware progressive search for pareto-optimal neural architectures
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Large-Scale Evolution of Image Classifiers
Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc V. Le, and Alexey Kurakin · 2017
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Accelerating Neural Architecture Search Using Performance Prediction
Bowen Baker, Otkrist Gupta, Ramesh Raskar, and Nikhil Naik · 2017
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Simple and Efficient Architecture Search for Convolutional Neural Networks
Thomas Elsken, Jan Hendrik Metzen, and Frank Hutter · 2017
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Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q. Weinberger · 2017
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Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander A. Alemi · 2017
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A genetic programming approach to designing convolutional neural network architectures
Masanori Suganuma, Shinichi Shirakawa, and Tomoharu Nagao · 2017
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Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, and Min Sun · 2018
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Hyper-parameter optimization for convolutional neural network committees based on evolutionary algorithms
E. Bochinski, T. Senst, and T. Sikora · 2018
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Gradient based evolution to optimize the structure of convolutional neural networks
N. Mitschke, M. Heizmann, K. Noffz, and R. Wittmann · 2018
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Cinic-10 is not imagenet or cifar-10
Luke N Darlow, Elliot J Crowley, Antreas Antoniou, and Amos J Storkey · 2018
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Regularized Evolution for Image Classifier Architecture Search
Esteban Real, Alok Aggarwal, Yanping Huang, and Quoc V. Le · 2019
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Auto-Keras: An Efficient Neural Architecture Search System
Haifeng Jin, Qingquan Song, and Xia Hu · 2019
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ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai, Ligeng Zhu, and Song Han · 2019
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SNAS: Stochastic Neural Architecture Search
Sirui Xie, Hehui Zheng, Chunxiao Liu, and Liang Lin · 2019
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Best practices for scientific research on neural architecture search
Marius Lindauer and Frank Hutter · 2019
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Neural Architecture Search: A Survey
Thomas Elsken, Jan Hendrik Metzen, and Frank Hutter · 2019
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Evaluating the Search Phase of Neural Architecture Search
Christian Sciuto, Kaicheng Yu, Martin Jaggi, Claudiu Musat, and Mathieu Salzmann · 2019
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Random Search and Reproducibility for Neural Architecture Search
Liam Li and Ameet Talwalkar · 2019
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Deepswarm: Optimising convolutional neural networks using swarm intelligence
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