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Neural Network Compression

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Showing 151–175 of 193 papers

TitleStatusHype
MUSCO: Multi-Stage Compression of neural networksCode0
Cascaded Projection: End-to-End Network Compression and Acceleration—0
Focused Quantization for Sparse CNNsCode0
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM—0
Improving Neural Network Quantization without Retraining using Outlier Channel SplittingCode0
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy CompressionCode0
Entropy-Constrained Training of Deep Neural Networks—0
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression—0
Few Sample Knowledge Distillation for Efficient Network CompressionCode0
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression ModelCode0
Efficient Neural Network CompressionCode0
Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks—0
Distilling Critical Paths in Convolutional Neural Networks—0
Efficient Neural Network Compression via Transfer Learning for Industrial Optical Inspection—0
Differentiable Fine-grained Quantization for Deep Neural Network CompressionCode0
A Closer Look at Structured Pruning for Neural Network CompressionCode0
Deep Neural Network Compression for Aircraft Collision Avoidance Systems—0
Minimal Random Code Learning: Getting Bits Back from Compressed Model ParametersCode0
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression—0
MLPrune: Multi-Layer Pruning for Automated Neural Network Compression—0
Characterising Across-Stack Optimisations for Deep Convolutional Neural NetworksCode0
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy—0
Constraint-Aware Deep Neural Network Compression—0
Coreset-Based Neural Network Compression—0
Filter Distillation for Network Compression—0
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