Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Leveraging Filter Correlations for Deep Model Compression
Auto-balanced Filter Pruning for Efficient Convolutional Neural Networks
An End-to-End Compression Framework Based on Convolutional Neural Networks
Deep Convolution Networks for Compression Artifacts Reduction
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks
ADC: Automated Deep Compression and Acceleration with Reinforcement Learning.
Understanding Representations and Reducing their Redundancy in Deep Networks
Extreme Network Compression via Filter Group Approximation
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
End-to-End Representation Learning for Correlation Filter Based Tracking
CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression
BlockCNN: A Deep Network for Artifact Removal and Image Compression
PruNet: Class-Blind Pruning Method For Deep Neural Networks
Pruning Convolutional Neural Networks for Resource Efficient Inference
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model
Soft Weight-Sharing for Neural Network Compression
An Evaluation of Model-Based Approaches to Sensor Data Compression
Fixed Point Quantization of Deep Convolutional Networks
Learning Structured Sparsity in Deep Neural Networks
Architectural Reasoning in ArchJava
squeezenet : alexnet - level accuracy with 50x fewer parameters and < 1mb model size .
Anon-Pass: Practical Anonymous Subscriptions
Approaching the Skyline in Z Order
Detecting Social Spam Campaigns on Twitter