Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search

This publication has 27 references indexed in Scilit:

• Scale-aware Fast R-CNN for Pedestrian Detection
  IEEE Transactions on Multimedia, 2017
• Network Dissection: Quantifying Interpretability of Deep Visual Representations
  2017
• A Shallow Convolutional Neural Network for Accurate Handwritten Digits Classification
  2017
• Evaluating the Visualization of What a Deep Neural Network Has Learned
  IEEE Transactions on Neural Networks and Learning Systems, 2016
• Object Detection Networks on Convolutional Feature Maps
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
• Learning Multi-domain Convolutional Neural Networks for Visual Tracking
  2016
• Deep Residual Learning for Image Recognition
  2016
• On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
  PLOS ONE, 2015
• Extraction of rules from artificial neural networks for nonlinear regression
  IEEE Transactions on Neural Networks, 2002
• Theory of the backpropagation neural network
  Neural Networks, 1988