Excitation Dropout: Encouraging Plasticity in Deep Neural Networks

23 May 2018

Papers citing "Excitation Dropout: Encouraging Plasticity in Deep Neural Networks"

8 / 8 papers shown

Title
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 90 911 0 30 Oct 2018
Differentiable plasticity: training plastic neural networks with backpropagation Thomas Miconi Jeff Clune Kenneth O. Stanley AI4CE 43 152 0 06 Apr 2018
Improved Dropout for Shallow and Deep Learning Zhe Li Boqing Gong Tianbao Yang BDL SyDa 61 79 0 06 Feb 2016
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web Shugao Ma Sarah Adel Bargal Jianming Zhang Leonid Sigal Stan Sclaroff 38 72 0 22 Dec 2015
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 161 9,266 0 14 Dec 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 156 1,500 0 08 Jun 2015
Dropout Training as Adaptive Regularization Stefan Wager Sida I. Wang Percy Liang 104 595 0 04 Jul 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 378 7,650 0 03 Jul 2012