Enlightening Deep Neural Networks with Knowledge of Confounding Factors

8 July 2016

Papers citing "Enlightening Deep Neural Networks with Knowledge of Confounding Factors"

6 / 6 papers shown

Title
One Explanation Does Not Fit XIL Felix Friedrich David Steinmann Kristian Kersting LRM 37 2 0 14 Apr 2023
Automatic Target Recognition on Synthetic Aperture Radar Imagery: A Survey O. Kechagias-Stamatis N. Aouf 19 106 0 04 Jul 2020
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications Haohan Wang Zhenglin Wu Eric Xing OOD 35 40 0 20 Mar 2018
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014
Deeply learned face representations are sparse, selective, and robust Yi Sun Xiaogang Wang Xiaoou Tang CVBM 250 921 0 03 Dec 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012