Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Visualizing Features Learned by Convolutional Neural Networks
Visualizing Higher-Layer Features of a Deep Network
Convolutional networks and applications in vision
A Theoretical Analysis of Feature Pooling in Visual Recognition
Visualized Insights into the Optimization Landscape of Fully Convolutional Networks
Understanding Convolutional Neural Networks
Understanding Neural Networks Through Deep Visualization
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
Deep convolutional neural networks as generic feature extractors
Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks
Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps
Face and Image Representation in Deep CNN Features
Best practices for convolutional neural networks applied to visual document analysis
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
Object level deep feature pooling for compact image representation
Convolutional recurrent neural networks: Learning spatial dependencies for image representation
Does ResNet Learn Good General Purpose Features?
Picasso: A Modular Framework for Visualizing the Learning Process of Neural Network Image Classifiers
Learning the Structure of Deep Convolutional Networks
Autoconvolution for Unsupervised Feature Learning
Learning Perceptual Kernels for Visualization Design
Marhaba, how may i help you?: effects of politeness and culture on robot acceptance and anthropomorphization
Making Smart Contracts Smarter
postmortem imaging : mdct features of postmortem change and decomposition .
User Modeling and Tweets Recommendation Based on Wikipedia Concept Graph ∗
An empirical evaluation of deep architectures on problems with many factors of variation