Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Pruning ConvNets Online for Efficient Specialist Models
Pruning Filters and Classes: Towards On-Device Customization of Convolutional Neural Networks
DANNP: an efficient artificial neural network pruning tool
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Enabling Sparse Winograd Convolution by Native Pruning
Sparsely Connected Convolutional Networks
Effnet: An Efficient Structure for Convolutional Neural Networks
A simple procedure for pruning back-propagation trained neural networks
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error
Speeding up feature selection: A deep-inspired network pruning algorithm
Sparse connection and pruning in large dynamic artificial neural networks.
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Reshaping deep neural network for fast decoding by node-pruning
On Implicit Filter Level Sparsity in Convolutional Neural Networks
Rethinking the Value of Network Pruning
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
Log-DenseNet: How to Sparsify a DenseNet
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units
Model compression as constrained optimization, with application to neural nets. Part I: general framework
NITELIGHT: A Graphical Editor for SPARQL Queries
Assessments of Factors that Affect Glomerular Filtration Rate and Indirect Markers of Renal Function in Dogs and Cats
A Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards
O BJECT DETECTORS EMERGE IN D EEP S CENE CNN S
Building a Research Model for Mobile Wallet Consumer Adoption: The Case of Mobile Suica in Japan