Dropout Training as Adaptive Regularization

4 July 2013

Papers citing "Dropout Training as Adaptive Regularization"

21 / 71 papers shown

Title
Learning Neural Representations of Human Cognition across Many fMRI Studies G. Flandin D. Handwerker Michael Hanke D. Keator Thomas E. Nichols AI4CE 16 44 0 31 Oct 2017
EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing Savas Ozkan Berk Kaya G. Akar 20 190 0 06 Aug 2017
Missing Data Imputation for Supervised Learning Jason Poulos Rafael Valle 10 62 0 28 Oct 2016
Structured Dropout for Weak Label and Multi-Instance Learning and Its Application to Score-Informed Source Separation Sebastian Ewert Mark Sandler 13 23 0 15 Sep 2016
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou 18 118 0 22 Aug 2016
Regularization for Unsupervised Deep Neural Nets Baiyang Wang Diego Klabjan BDL 23 25 0 15 Aug 2016
Relative Natural Gradient for Learning Large Complex Models Ke Sun Frank Nielsen 29 5 0 20 Jun 2016
On Complex Valued Convolutional Neural Networks Nitzan Guberman CVBM 17 133 0 29 Feb 2016
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms Tom Zahavy Bingyi Kang Alex Sivak Jiashi Feng Huan Xu Shie Mannor OOD AAML 31 12 0 07 Feb 2016
Improved Dropout for Shallow and Deep Learning Zhe Li Boqing Gong Tianbao Yang BDL SyDa 27 79 0 06 Feb 2016
Semisupervised Autoencoder for Sentiment Analysis Shuangfei Zhai Zhongfei Zhang 14 63 0 14 Dec 2015
Towards Dropout Training for Convolutional Neural Networks Haibing Wu Xiaodong Gu 19 298 0 01 Dec 2015
A Primer on Neural Network Models for Natural Language Processing Yoav Goldberg AI4CE 41 1,128 0 02 Oct 2015
A Scale Mixture Perspective of Multiplicative Noise in Neural Networks Eric T. Nalisnick Anima Anandkumar Padhraic Smyth 27 19 0 10 Jun 2015
DART: Dropouts meet Multiple Additive Regression Trees Rashmi Korlakai Vinayak Ran Gilad-Bachrach 31 189 0 07 May 2015
A Bayesian encourages dropout S. Maeda BDL 29 45 0 22 Dec 2014
Learning with Pseudo-Ensembles Philip Bachman O. Alsharif Doina Precup 25 594 0 16 Dec 2014
On the Inductive Bias of Dropout D. Helmbold Philip M. Long 30 70 0 15 Dec 2014
Collaborative Deep Learning for Recommender Systems Hao Wang Naiyan Wang Dit-Yan Yeung BDL 33 1,610 0 10 Sep 2014
An empirical analysis of dropout in piecewise linear networks David Warde-Farley Ian Goodfellow Aaron Courville Yoshua Bengio 46 106 0 21 Dec 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012