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10/24/2022
Exploring the impact of weather on Metro demand forecasting using machine learning method
Urban rail transit provides significant comprehensive benefits such as l...
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10/08/2021
DPUV3INT8: A Compiler View to programmable FPGA Inference Engines
We have a FPGA design, we make it fast, efficient, and tested for a few ...
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04/28/2020
Angle-based Search Space Shrinking for Neural Architecture Search
In this work, we present a simple and general search space shrinking met...
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02/27/2019
Cluster Regularized Quantization for Deep Networks Compression
Deep neural networks (DNNs) have achieved great success in a wide range ...
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02/27/2019
Multi-loss-aware Channel Pruning of Deep Networks
Channel pruning, which seeks to reduce the model size by removing redund...
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01/07/2019
Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks
Predicting the future is a fantasy but practicality work. It is the key ...
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12/14/2018
Action Machine: Rethinking Action Recognition in Trimmed Videos
Existing methods in video action recognition mostly do not distinguish h...
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05/29/2018
A novel channel pruning method for deep neural network compression
In recent years, deep neural networks have achieved great success in the...
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12/01/2016