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Neural Network Compression

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Showing 126–150 of 193 papers

TitleStatusHype
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification—0
Adversarial Network Compression—0
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design—0
A novel channel pruning method for deep neural network compression—0
A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks—0
An Overview of Neural Network Compression—0
Approximate Bisimulation Relations for Neural Networks and Application to Assured Neural Network Compression—0
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions—0
A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation—0
Automated Pruning for Deep Neural Network Compression—0
Automatic Parameter Tying in Neural Networks—0
Balanced and Deterministic Weight-sharing Helps Network Performance—0
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data—0
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning—0
Cascaded Projection: End-to-End Network Compression and Acceleration—0
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks—0
Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding—0
Condensed Sample-Guided Model Inversion for Knowledge Distillation—0
Constraint-Aware Deep Neural Network Compression—0
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition—0
Convolutional Neural Network Compression Based on Low-Rank Decomposition—0
Convolutional neural network compression for natural language processing—0
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning—0
Convolutional neural networks compression with low rank and sparse tensor decompositions—0
Coreset-Based Neural Network Compression—0
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