Dropout Training as Adaptive Regularization

4 July 2013

Papers citing "Dropout Training as Adaptive Regularization"

37 / 87 papers shown

Title
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models Yinan Li Xiao Liu Fang Liu 29 7 0 11 Oct 2018
Extracting representations of cognition across neuroimaging studies improves brain decoding A. Mensch Julien Mairal B. Thirion Gaël Varoquaux AI4CE 27 15 0 17 Sep 2018
Towards Understanding Regularization in Batch Normalization Ping Luo Xinjiang Wang Wenqi Shao Zhanglin Peng MLT AI4CE 23 179 0 04 Sep 2018
On the Implicit Bias of Dropout Poorya Mianjy R. Arora René Vidal 27 66 0 26 Jun 2018
Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution Yichen Zhou Giles Hooker UQCV 23 11 0 26 Jun 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 30 141 0 11 Jun 2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks Andrea Zunino Sarah Adel Bargal Pietro Morerio Jianming Zhang Stan Sclaroff Vittorio Murino 21 23 0 23 May 2018
Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman Kfir Y. Levy Ido Hakimi M. Silberstein 29 26 0 21 May 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks Adji Bousso Dieng Rajesh Ranganath Jaan Altosaar David M. Blei 22 22 0 03 May 2018
Posterior Concentration for Sparse Deep Learning Nicholas G. Polson Veronika Rockova UQCV BDL 30 88 0 24 Mar 2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou Ehsan Adeli 50 45 0 17 Feb 2018
The Hybrid Bootstrap: A Drop-in Replacement for Dropout R. Kosar D. W. Scott BDL 26 1 0 22 Jan 2018
Learning Neural Representations of Human Cognition across Many fMRI Studies G. Flandin D. Handwerker Michael Hanke D. Keator Thomas E. Nichols AI4CE 24 44 0 31 Oct 2017
EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing Savas Ozkan Berk Kaya G. Akar 23 190 0 06 Aug 2017
Curriculum Dropout Pietro Morerio Jacopo Cavazza Riccardo Volpi René Vidal Vittorio Murino ODL 28 101 0 18 Mar 2017
Missing Data Imputation for Supervised Learning Jason Poulos Rafael Valle 15 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 19 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 39 12 0 07 Feb 2016
Improved Dropout for Shallow and Deep Learning Zhe Li Boqing Gong Tianbao Yang BDL SyDa 30 79 0 06 Feb 2016
Semisupervised Autoencoder for Sentiment Analysis Shuangfei Zhai Zhongfei Zhang 16 63 0 14 Dec 2015
Towards Dropout Training for Convolutional Neural Networks Haibing Wu Xiaodong Gu 23 298 0 01 Dec 2015
Conditional Computation in Neural Networks for faster models Emmanuel Bengio Pierre-Luc Bacon Joelle Pineau Doina Precup AI4CE 23 315 0 19 Nov 2015
On the interplay of network structure and gradient convergence in deep learning V. Ithapu Sathya Ravi Vikas Singh 18 3 0 17 Nov 2015
A Primer on Neural Network Models for Natural Language Processing Yoav Goldberg AI4CE 50 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 35 45 0 22 Dec 2014
Neural Network Regularization via Robust Weight Factorization Jan Rudy Weiguang Ding Daniel Jiwoong Im Graham W. Taylor OOD 42 6 0 20 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 36 71 0 15 Dec 2014
Collaborative Deep Learning for Recommender Systems Hao Wang Naiyan Wang Dit-Yan Yeung BDL 39 1,610 0 10 Sep 2014
An empirical analysis of dropout in piecewise linear networks David Warde-Farley Ian Goodfellow Aaron Courville Yoshua Bengio 51 106 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 7,638 0 03 Jul 2012