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Neural Network Compression

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Showing 101–125 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
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