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Neural Network Compression

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Showing 101–150 of 193 papers

TitleStatusHype
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression—0
Heavy Tails in SGD and Compressibility of Overparametrized Neural NetworksCode0
Towards Compact CNNs via Collaborative CompressionCode0
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis—0
Neural Network Compression for Noisy Storage Devices—0
Scaling Up Exact Neural Network Compression by ReLU StabilityCode0
UMEC: Unified model and embedding compression for efficient recommendation systems—0
Sparse matrix products for neural network compression—0
Efficient CNN-LSTM based Image Captioning using Neural Network CompressionCode0
Multi-head Knowledge Distillation for Model Compression—0
Parallel Blockwise Knowledge Distillation for Deep Neural Network CompressionCode0
torchdistill: A Modular, Configuration-Driven Framework for Knowledge DistillationCode0
Deep convolutional neural network compression via coupled tensor decompositionCode0
Dirichlet Pruning for Neural Network CompressionCode0
Neural Network Compression Via Sparse Optimization—0
Noisy Neural Network Compression for Analog Storage Devices—0
Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast ImplementationCode0
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions—0
Transform Quantization for CNN (Convolutional Neural Network) Compression—0
Differentiable Joint Pruning and Quantization for Hardware Efficiency—0
Hybrid Tensor Decomposition in Neural Network Compression—0
Neural gradients are near-lognormal: improved quantized and sparse training—0
Neural Network Compression Using Higher-Order Statistics and AuxiliaryReconstruction LossesCode0
Convolutional neural networks compression with low rank and sparse tensor decompositions—0
An Overview of Neural Network Compression—0
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration—0
Teacher-Class Network: A Neural Network Compression MechanismCode0
DP-Net: Dynamic Programming Guided Deep Neural Network Compression—0
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming—0
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
A Bayesian Optimization Framework for Neural Network Compression—0
XNOR-Net++: Improved Binary Neural NetworksCode0
Forward and Backward Information Retention for Accurate Binary Neural NetworksCode0
DeepCABAC: A Universal Compression Algorithm for Deep Neural NetworksCode0
Similarity-Preserving Knowledge DistillationCode0
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
Online Multi-target regression trees with stacked leaf models—0
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