Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Functional Hashing for Compressing Neural Networks
Compressing Neural Networks with the Hashing Trick
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression
Deep Neural Network Compression with Single and Multiple Level Quantization
Compressing Deep Neural Networks using a Rank-Constrained Topology
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Simultaneous Feature Learning and Hash Coding with Deep Neural Networks
deep compression : compressing deep neural network with pruning , trained quantization and huffman coding .
Supervised Hashing with Deep Neural Networks
Spectral-Pruning: Compressing deep neural network via spectral analysis
Associative Compression Networks for Representation Learning
From Hashing to CNNs: Training BinaryWeight Networks via Hashing
NN compactor: Minimizing memory and logic resources for small neural networks
Learning to Hash with Binary Deep Neural Network
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges
Accelerating Convolutional Neural Networks via Activation Map Compression
Adversarial Network Compression
A Survey of Model Compression and Acceleration for Deep Neural Networks
Cross-Entropy Pruning for Compressing Convolutional Neural Networks
A novel channel pruning method for deep neural network compression
The immune system and the gut microbiota: friends or foes?
Caffe: Convolutional Architecture for Fast Feature Embedding
A Biomimetic Underwater Soft Robot Inspired by Cephalopod Mollusc
Neural Combinatorial Optimization with Reinforcement Learning
using hot carrier injection for embedded non - volatile memory .