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Found 3 papers, 2 papers with code
On the Efficiency of Convolutional Neural Networks
Hence researchers switched the objective of their search from arithmetic complexity to latency and produced a new wave of models that performed better.
Fast Algorithms for Convolutional Neural Networks
The algorithms compute minimal complexity convolution over small tiles, which makes them fast with small filters and small batch sizes.
maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs
This paper describes maxDNN, a computationally efficient convolution kernel for deep learning with the NVIDIA Maxwell GPU.
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