Improving Deep Neural Networks with Probabilistic Maxout Units

Improving Deep Neural Networks with Probabilistic Maxout Units

20 December 2013

Jost Tobias Springenberg

Martin Riedmiller

Papers citing "Improving Deep Neural Networks with Probabilistic Maxout Units"

16 / 16 papers shown

Title
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 37 71 0 06 Sep 2022
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
A survey on modern trainable activation functions Andrea Apicella Francesco Donnarumma Francesco Isgrò R. Prevete 36 365 0 02 May 2020
Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating Ioannis D. Apostolopoulos 17 3 0 15 Mar 2020
Reconstruction of Simulation-Based Physical Field by Reconstruction Neural Network Method Yu Li Hu Wang Kangjia Mo Tao Zeng 3DV AI4CE 30 7 0 19 Apr 2018
Improved Inception-Residual Convolutional Neural Network for Object Recognition Md. Zahangir Alom Mahmudul Hasan C. Yakopcic T. Taha V. Asari 46 116 0 28 Dec 2017
Inception Recurrent Convolutional Neural Network for Object Recognition Md. Zahangir Alom Mahmudul Hasan C. Yakopcic T. Taha 39 86 0 25 Apr 2017
CIFAR-10: KNN-based Ensemble of Classifiers Yehya Abouelnaga Ola S. Ali Hager Rady Mohamed Moustafa FedML 18 65 0 15 Nov 2016
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods Xiaojie Jin Xiao-Tong Yuan Jiashi Feng Shuicheng Yan 13 78 0 19 Jul 2016
DisturbLabel: Regularizing CNN on the Loss Layer Lingxi Xie Jingdong Wang Zhen Wei Meng Wang Qi Tian 39 249 0 30 Apr 2016
Towards Dropout Training for Convolutional Neural Networks Haibing Wu Xiaodong Gu 19 298 0 01 Dec 2015
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data Salman H. Khan Munawar Hayat Bennamoun Ferdous Sohel R. Togneri 23 873 0 14 Aug 2015
APAC: Augmented PAttern Classification with Neural Networks Ikuro Sato Hiroki Nishimura Kensuke Yokoi 32 137 0 13 May 2015
Learning Activation Functions to Improve Deep Neural Networks Forest Agostinelli Matthew Hoffman Peter Sadowski Pierre Baldi ODL 41 472 0 21 Dec 2014
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition Zhicheng Yan Hao Zhang Robinson Piramuthu Vignesh Jagadeesh D. DeCoste Wei Di Yizhou Yu 50 60 0 03 Oct 2014
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