56 citations · 92 across the 7 of their papers we have counts for
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cs.CV2019
Adaptive Loss-aware Quantization for Multi-bit Networks
Zhongnan Qu, Zimu Zhou, Yun Cheng +1
We investigate the compression of deep neural networks by quantizing their weights and activations into multiple binary bases, known as multi-bit networks (MBNs), which accelerate…
cs.CV2017★ 9 cited
Unsupervised Feature Learning for Audio Analysis
Matthias Meyer, Jan Beutel, Lothar Thiele
Identifying acoustic events from a continuously streaming audio source is of interest for many applications including environmental monitoring for basic research. In this scenario…