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Neural Network Compression

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Showing 76–100 of 193 papers

TitleStatusHype
Convolutional Neural Network Compression Based on Low-Rank Decomposition—0
Convolutional neural network compression for natural language processing—0
NETWORK COMPRESSION USING CORRELATION ANALYSIS OF LAYER RESPONSES—0
Neural gradients are near-lognormal: improved quantized and sparse training—0
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction—0
Neural Network Compression for Noisy Storage Devices—0
Neural Network Compression for Reinforcement Learning Tasks—0
Neural Network Compression using Binarization and Few Full-Precision Weights—0
Neural Network Compression using Transform Coding and Clustering—0
Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning—0
Neural Network Compression Via Sparse Optimization—0
Noisy Neural Network Compression for Analog Storage Devices—0
Online Multi-target regression trees with stacked leaf models—0
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression—0
Quantization Aware Factorization for Deep Neural Network Compression—0
Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study—0
Quantized Sparse Weight Decomposition for Neural Network Compression—0
Quantum Neural Network Compression—0
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression—0
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization—0
SCANN: Synthesis of Compact and Accurate Neural Networks—0
Semi-tensor Product-based TensorDecomposition for Neural Network Compression—0
Similarity-Preserving Knowledge Distillation—0
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations—0
Sparse matrix products for neural network compression—0
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