Efficient Forward Architecture Search
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John Langford | Eric Horvitz | Rich Caruana | Debadeepta Dey | Saurajit Mukherjee | Hanzhang Hu | J. Langford | E. Horvitz | R. Caruana | Debadeepta Dey | Saurajit Mukherjee | Hanzhang Hu
[1] Kirthevasan Kandasamy,et al. Neural Architecture Search with Bayesian Optimisation and Optimal Transport , 2018, NeurIPS.
[2] John Langford,et al. Learning Deep ResNet Blocks Sequentially using Boosting Theory , 2017, ICML.
[3] Frank Hutter,et al. Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution , 2018, ICLR.
[4] Quoc V. Le,et al. Efficient Neural Architecture Search via Parameter Sharing , 2018, ICML.
[5] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[7] Christian Lebiere,et al. The Cascade-Correlation Learning Architecture , 1989, NIPS.
[8] Y. C. Pati,et al. Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.
[9] Ruslan Salakhutdinov,et al. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model , 2017, ICLR.
[10] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[11] Larry J. Eshelman,et al. Using genetic search to exploit the emergent behavior of neural networks , 1990 .
[12] Aaron Klein,et al. NAS-Bench-101: Towards Reproducible Neural Architecture Search , 2019, ICML.
[13] Vijay Vasudevan,et al. Learning Transferable Architectures for Scalable Image Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[14] Patrice Marcotte,et al. An overview of bilevel optimization , 2007, Ann. Oper. Res..
[15] Beatrice Santorini,et al. Building a Large Annotated Corpus of English: The Penn Treebank , 1993, CL.
[16] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Frank Hutter,et al. Neural Architecture Search: A Survey , 2018, J. Mach. Learn. Res..
[18] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[19] Li Fei-Fei,et al. Progressive Neural Architecture Search , 2017, ECCV.
[20] Song Han,et al. ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware , 2018, ICLR.
[21] Song Han,et al. Path-Level Network Transformation for Efficient Architecture Search , 2018, ICML.
[22] Junmo Kim,et al. Deep Pyramidal Residual Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Quoc V. Le,et al. Neural Architecture Search with Reinforcement Learning , 2016, ICLR.
[24] Liang Lin,et al. SNAS: Stochastic Neural Architecture Search , 2018, ICLR.
[25] Oriol Vinyals,et al. Hierarchical Representations for Efficient Architecture Search , 2017, ICLR.
[26] Geoffrey J. Gordon,et al. DeepArchitect: Automatically Designing and Training Deep Architectures , 2017, ArXiv.
[27] Gregory Shakhnarovich,et al. FractalNet: Ultra-Deep Neural Networks without Residuals , 2016, ICLR.
[28] Frank Hutter,et al. SGDR: Stochastic Gradient Descent with Warm Restarts , 2016, ICLR.
[29] R. J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[30] Abhimanyu Das,et al. Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection , 2011, ICML.
[31] Ameet Talwalkar,et al. Random Search and Reproducibility for Neural Architecture Search , 2019, UAI.
[32] Yiming Yang,et al. DARTS: Differentiable Architecture Search , 2018, ICLR.
[33] Changhu Wang,et al. Network Morphism , 2016, ICML.
[34] Quoc V. Le,et al. Large-Scale Evolution of Image Classifiers , 2017, ICML.
[35] Graham W. Taylor,et al. Improved Regularization of Convolutional Neural Networks with Cutout , 2017, ArXiv.
[36] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[37] Alok Aggarwal,et al. Regularized Evolution for Image Classifier Architecture Search , 2018, AAAI.
[38] Jonathan Gordon,et al. Probabilistic Neural Architecture Search , 2019, ArXiv.
[39] Tie-Yan Liu,et al. Neural Architecture Optimization , 2018, NeurIPS.
[40] Kilian Q. Weinberger,et al. CondenseNet: An Efficient DenseNet Using Learned Group Convolutions , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[41] J. Friedman. Stochastic gradient boosting , 2002 .
[42] Mehryar Mohri,et al. AdaNet: Adaptive Structural Learning of Artificial Neural Networks , 2016, ICML.