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Found 2 papers, 1 papers with code
Compact representations of convolutional neural networks via weight pruning and quantization
The state-of-the-art performance for several real-world problems is currently reached by convolutional neural networks (CNN).
Compression strategies and space-conscious representations for deep neural networks
Recent advances in deep learning have made available large, powerful convolutional neural networks (CNN) with state-of-the-art performance in several real-world applications.
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