Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: approximation by deep neural nets with .
Error bounds for approximations with deep ReLU networks
Exploring strategies for training deep neural networks
Multilayer feedforward networks with a nonpolynomial activation function can approximate any function
Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications
ApproxANN: An approximate computing framework for artificial neural network
An Analysis of Deep Neural Network Models for Practical Applications
Efficient and accurate approximations of nonlinear convolutional networks
Comparison of Training Methods for Deep Neural Networks
Neural Network with Unbounded Activation Functions is Universal Approximator
Multi-layer feedforward networks are uni-versal approximators
A Spline Theory of Deep Networks.
O N THE EXPRESSIVE POWER OF DEEP NEURAL NETWORKS
BranchyNet: Fast inference via early exiting from deep neural networks
Layered Neural Networks with Gaussian Hidden Units as Universal Approximations
A survey of deep neural network architectures and their applications
How Robust are Deep Neural Networks?
Incorporating Prior Domain Knowledge into Deep Neural Networks
Sharp Minima Can Generalize For Deep Nets
Robust Large Margin Deep Neural Networks
Formal Specification for Deep Neural Networks
A wideband programmable-gain amplifier for 60GHz applications in 65nm CMOS
Video Summarization by Curve Simplification
Multiclass support vector machine for classification spatial data from satellite image
Delayed neuropathy after organophosphorus insecticide (Dipterex) poisoning: a clinical, electrophysiological and nerve biopsy study.
The Power of Depth for Feedforward Neural Networks