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Found 6 papers, 2 papers with code
Digital-analog hybrid matrix multiplication processor for optical neural networks
Here, we propose a digital-analog hybrid optical computing architecture for ONNs, which utilizes digital optical inputs in the form of binary words.
E-NER -- An Annotated Named Entity Recognition Corpus of Legal Text
Nevertheless, there are publicly available NER data sets for general English.
Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity
In this paper, we demonstrate how Bayesian Neural Networks (BNNs) can be used to both provide a forecast and a corresponding uncertainty without significant loss in forecasting accuracy compared to traditional NNs.
Providing early indication of regional anomalies in COVID19 case counts in England using search engine queries
Our analysis shows that searches for "fever" and "cough" were the most correlated with future case counts, with searches preceding case counts by 16-17 days.
Tracking COVID-19 using online search
Furthermore, we analyse the time series of online search queries in relation to confirmed COVID-19 cases data jointly across multiple countries, uncovering interesting patterns.
Social and Information Networks
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation
Online ranker evaluation can be modeled by dueling ban- dits, a mathematical model for online learning under limited feedback from pairwise comparisons.
