This is a table I used in the paper W. Li, G. Wei, D. Ding, Y. Liu and F. E. Alsaadi, "A New Look at Boundedness of Error Covariance of Kalman Filtering," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 2, pp. 309-314, Feb. 2018. I would like to share some LaTex codes for the table which might be helpful to some readers.
The Contextual and Numerically Augmented QANet (CNAQANet) is a QA model that builds on NAQANet in order to improve performance on arithmetic reasoning in question and answering tasks. CNAQANet is specifically trained and tested on the DROP dataset.
Thesis template for Autonomous Systems Lab (ASL) at Swiss Federal Institute of Technology in Zurich (ETH Zürich). (Downloaded 10 May 2016)
This template is based on the IMRT Latex template by Eric A. Mueller.