Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Understanding Convolutional Neural Network Training with Information Theory
Deep learning and the information bottleneck principle
Neural Network Learning: Theoretical Foundations
Information theory for data management
Opening the Black Box of Deep Neural Networks via Information
A decision cognizant Kullback-Leibler divergence
Information Bottleneck for Gaussian Variables
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Using mutual information for selecting features in supervised neural net learning
Breaking the Curse of Dimensionality with Convex Neural Networks
Convex Neural Networks
Minimizing Computation in Convolutional Neural Networks
Learning deep representations by mutual information estimation and maximization
The Singular Values of Convolutional Layers
Visualizing and Comparing Convolutional Neural Networks
Input Convex Neural Networks
Bounded Information Rate Variational Autoencoders
Weighted-Entropy-Based Quantization for Deep Neural Networks
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Do Convolutional Neural Networks Learn Class Hierarchy?
Recent Advances in Convolutional Neural Networks
Generative Adversarial Guided Learning for Domain Adaptation
Internet use and video gaming predict problem behavior in early adolescence
One weird trick for parallelizing convolutional neural networks
A Sound Type System For Secure Flow Analysis
Distributed network traffic feature extraction for a real-time IDS