Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Rethinking the Value of Network Pruning
Channel Pruning for Accelerating Very Deep Neural Networks
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
Compact representations and pruning in residual networks
Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting
towards compact convnets via structure - sparsity regularized filter pruning .
Reshaping deep neural network for fast decoding by node-pruning
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization
Sparsity Measure of a Network Graph: Gini Index
Optimal cost for strengthening or destroying a given network
On compressing social networks
Shattering and Compressing Networks for Betweenness Centrality
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning
More is Less: A More Complicated Network with Less Inference Complexity
Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures
Twin Networks: Using the Future as a Regularizer
Data-Driven Networking : Harnessing the “ Unreasonable Effectiveness of Data ” in Network Design
Unsupervised feature selection on networks: a generative view
PRUNE: Preserving Proximity and Global Ranking for Network Embedding
Input/Output Devices and Interaction Techniques
PANDA: Pose Aligned Networks for Deep Attribute Modeling
Interactive Data Exploration with Smart Drill-Down
Improving the patient experience: real-world strategies for engaging nurses.
A Taxonomy of Blockchain-Based Systems for Architecture Design