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Quantization (signal), Image coding, Neural networks,
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Training, Image coding, Computational modeling, Neurons,
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2105
Quantization (signal), Source coding, Computational modeling,
Neural networks, Random access memory, Probabilistic logic,
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Towards Low-Bit Quantization of Deep Neural Networks with Limited
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Training, Quantization (signal), Sensitivity, Neural networks,
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ICIP20(3099-3103)
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Image coding, Correlation, Cloud computing, Quantization (signal),
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Deepcabac: Plug Play Compression of Neural Network Weights and Weight
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ICIP20(21-25)
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2011
Artificial neural networks, Quantization (signal), Image coding,
Training, Servers, Compression algorithms, Neural Networks,
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Dependent Scalar Quantization For Neural Network Compression,
ICIP20(36-40)
IEEE DOI
2011
Quantization (signal), Indexes, Neural networks, Context modeling,
Entropy coding, Image reconstruction,
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Structured Compression by Weight Encryption for Unstructured Pruning
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CVPR20(1906-1915)
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2008
Sparse matrices, Decoding, Quantization (signal),
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CVPR20(1505-1514)
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Tensile stress, Redundancy,
Logic gates, Convolution, Solid modeling
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Differentiable Soft Quantization:
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ICCV19(4851-4860)
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backpropagation, convolutional neural nets, data compression,
image coding, learning (artificial intelligence), Backpropagation
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A Comprehensive Overhaul of Feature Distillation,
ICCV19(1921-1930)
IEEE DOI
2004
feature extraction, image classification, image segmentation,
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Artificial intelligence
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ICCV19(1803-1811)
IEEE DOI
2004
Code, Neural Networks.
WWW Link. image classification, image resolution,
learning (artificial intelligence), mobile computing,
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Low-bit Quantization of Neural Networks for Efficient Inference,
CEFRL19(3009-3018)
IEEE DOI
2004
inference mechanisms, learning (artificial intelligence),
mean square error methods, neural nets, quantisation (signal), MMSE
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Cluster Regularized Quantization for Deep Networks Compression,
ICIP19(914-918)
IEEE DOI
1910
deep neural networks, object classification, model compression, quantization
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Forgetting, Explaination, Intrepretation, Understanding of Convolutional Neural Networks .