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Found 6 papers, 0 papers with code
Differentiable Transportation Pruning
Deep learning algorithms are increasingly employed at the edge.
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Second, a rapid evolutionary search finds a set of pareto-optimal architectures for any scenario using the accuracy predictor and on-device measurements.
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS
This paper introduces BinarEye: a digital processor for always-on Binary Convolutional Neural Networks.
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion
Performing multi-modal speech recognition - processing acoustic speech signals and lip-reading video simultaneously - significantly enhances the performance of such systems, especially in noisy environments.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Minimum Energy Quantized Neural Networks
To this end, the energy consumption of inference is modeled for a generic hardware platform.
Energy-Efficient ConvNets Through Approximate Computing
Recently ConvNets or convolutional neural networks (CNN) have come up as state-of-the-art classification and detection algorithms, achieving near-human performance in visual detection.
