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11/16/2022
Fast and Accurate FSA System Using ELBERT: An Efficient and Lightweight BERT
As an application of Natural Language Processing (NLP) techniques, finan...
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07/01/2021
Elbert: Fast Albert with Confidence-Window Based Early Exit
Despite the great success in Natural Language Processing (NLP) area, lar...
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12/12/2020
PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data
An automated machine learning framework for geospatial data named PAIRS ...
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09/18/2020
Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer
Designing hardware accelerators for deep neural networks (DNNs) has been...
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05/20/2020
Map Generation from Large Scale Incomplete and Inaccurate Data Labels
Accurately and globally mapping human infrastructure is an important and...
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04/05/2020
Event Clustering Event Series Characterization on Expected Frequency
We present an efficient clustering algorithm applicable to one-dimension...
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11/11/2019
Clustered Gaussian process model with an application to solar irradiance emulation
A Gaussian process has been one of the important approaches for emulatin...
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10/23/2019
Statistical Modeling for Spatio-Temporal Data from Physical Convection-Diffusion Processes
This paper proposes a statistical modeling approach for spatio-temporal ...
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09/06/2019
Training Deep Neural Networks Using Posit Number System
With the increasing size of Deep Neural Network (DNN) models, the high m...
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05/08/2019
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding
The Connectionist Temporal Classification (CTC) has achieved great succe...
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06/13/2018
Synthesizing simulation and field data of solar irradiance
Predicting the intensity and amount of sunlight as a function of locatio...
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05/10/2018
An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending
Solar forecasting accuracy is affected by weather conditions, and weathe...
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09/30/2017
