Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
Accelerating Convolutional Neural Networks via Activation Map Compression
Cross-Entropy Pruning for Compressing Convolutional Neural Networks
A Practical Randomized CP Tensor Decomposition
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks
An End-to-End Compression Framework Based on Convolutional Neural Networks
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Deep Neural Network Compression with Single and Multiple Level Quantization
Constraint-Aware Deep Neural Network Compression
Clustering Convolutional Kernels to Compress Deep Neural Networks
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Accelerator-Aware Pruning for Convolutional Neural Networks
Convolutional Deep Stacking Networks for distributed compressive sensing
Minimizing Computation in Convolutional Neural Networks
Cascade C NN : Pushing the Performance Limits of Quantisation in Convolutional Neural Networks
The Power of Sparsity in Convolutional Neural Networks
A Framework for Fast and Efficient Neural Network Compression
A Deep Neural Network Compression Pipeline: Pruning, Quantization, Huffman Encoding
Wide Compression: Tensor Ring Nets
Bartholinitis caused by Streptococcus pneumoniae: case report and review of literature.
The Pascal Visual Object Classes (VOC) Challenge
Implicit vs explicit MPC — Similarities, differences, and a path owards a unified method
Zebrafish tracking using convolutional neural networks
sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings