research
∙
06/18/2021
Quantized Neural Networks via -1, +1 Encoding Decomposition and Acceleration
The training of deep neural networks (DNNs) always requires intensive re...
share
research
∙
05/04/2021
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment
As an effective technique to achieve the implementation of deep neural n...
research
∙
03/09/2021
MWQ: Multiscale Wavelet Quantized Neural Networks
Model quantization can reduce the model size and computational latency, ...
research
∙
03/04/2021
Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization
Since model quantization helps to reduce the model size and computation ...
research
∙
07/21/2019
signADAM: Learning Confidences for Deep Neural Networks
In this paper, we propose a new first-order gradient-based algorithm to ...
research
∙
06/09/2019
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification
Exploiting rich spatial and spectral features contributes to improve the...
research
∙
06/09/2019
Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification
Polarimetric synthetic aperture radar (PolSAR) images are widely used in...
research
∙
05/31/2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1
The training of deep neural networks (DNNs) requires intensive resources...
research
∙
07/09/2018