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Neural Network Compression

Papers

Showing 126–150 of 193 papers

TitleStatusHype
ZeroQ: A Novel Zero Shot Quantization FrameworkCode1
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks—0
TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis—0
Compressing 3DCNNs Based on Tensor Train Decomposition—0
A Programmable Approach to Neural Network CompressionCode0
Distilling Pixel-Wise Feature Similarities for Semantic Segmentation—0
A Comparative Study of Neural Network Compression—0
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based ApproachCode0
Deep Neural Network Compression for Image Classification and Object DetectionCode0
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time SystemsCode1
A Bayesian Optimization Framework for Neural Network Compression—0
XNOR-Net++: Improved Binary Neural Networks—0
Forward and Backward Information Retention for Accurate Binary Neural NetworksCode0
Learning Filter Basis for Convolutional Neural Network CompressionCode1
DeepCABAC: A Universal Compression Algorithm for Deep Neural NetworksCode0
Similarity-Preserving Knowledge Distillation—0
Weight Normalization based Quantization for Deep Neural Network Compression—0
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level PruningCode0
Learning Sparse Networks Using Targeted DropoutCode0
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression—0
NETWORK COMPRESSION USING CORRELATION ANALYSIS OF LAYER RESPONSES—0
SCANN: Synthesis of Compact and Accurate Neural Networks—0
Cramnet: Layer-wise Deep Neural Network Compression with Knowledge Transfer from a Teacher Network—0
Data-Free Learning of Student NetworksCode2
Online Multi-target regression trees with stacked leaf models—0
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