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08/27/2021
4-bit Quantization of LSTM-based Speech Recognition Models
We investigate the impact of aggressive low-precision representations of...
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04/21/2021
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
Large-scale distributed training of Deep Neural Networks (DNNs) on state...
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03/02/2021
All at Once Network Quantization via Collaborative Knowledge Transfer
Network quantization has rapidly become one of the most widely used meth...
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01/22/2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Neural Architecture Search (NAS) methods have been growing in popularity...
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01/19/2019
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks
Efforts to reduce the numerical precision of computations in deep learni...
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12/19/2018