Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Interpretable Convolutional Neural Networks via Feedforward Design
Understanding Convolutional Neural Networks with A Mathematical Model
Convolutional Networks with Adaptive Computation Graphs.
Second-order Convolutional Neural Networks
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Do Convolutional Neural Networks Learn Class Hierarchy?
Understanding Deep Neural Networks with Rectified Linear Units
Design of Kernels in Convolutional Neural Networks for Image Classification
Refining Architectures of Deep Convolutional Neural Networks
Interleaved Structured Sparse Convolutional Neural Networks
Systematic evaluation of convolution neural network advances on the Imagenet
Interpretability of deep learning models: A survey of results
Minimizing Computation in Convolutional Neural Networks
The Power of Sparsity in Convolutional Neural Networks
CNN : A DESCRIPTOR ENHANCED CONVOLUTIONAL NEURAL NETWORK
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Understanding Convolutional Neural Networks in Terms of Category-Level Attributes
Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results
How far can we go without convolution: Improving fully-connected networks
CONTRIBUTION Approximation Capabilities of Muitilayer Feedforward Networks
Guide Me: Interacting with Deep Networks
Preprocessing and analyzing educational data set using X-API for improving student's performance
Mining Summaries for Knowledge Graph Search
Inference by eye: Confidence intervals and how to read pictures of data
Real time hand tracking by combining particle filtering and mean shift
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation