activity
20122026
most citedDeep Learning applied to NLP

129 citations · 717 across the 46 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 61 cited

Neural Attention for Image Captioning: Review of Outstanding Methods

Zanyar Zohourianshahzadi, Jugal K. Kalita

Image captioning is the task of automatically generating sentences that describe an input image in the best way possible. The most successful techniques for automatically generatin…

cs.CV2021

Neural Twins Talk & Alternative Calculations

Zanyar Zohourianshahzadi, Jugal K. Kalita

Inspired by how the human brain employs a higher number of neural pathways when describing a highly focused subject, we show that deep attentive models used for the main vision-lan…

cs.LG2021★ 26 cited

Incremental Deep Neural Network Learning using Classification Confidence Thresholding

Justin Leo, Jugal Kalita

Most modern neural networks for classification fail to take into account the concept of the unknown. Trained neural networks are usually tested in an unrealistic scenario with only…

cs.CL2021

Language Model Metrics and Procrustes Analysis for Improved Vector Transformation of NLP Embeddings

Thomas Conley, Jugal Kalita

Artificial Neural networks are mathematical models at their core. This truismpresents some fundamental difficulty when networks are tasked with Natural Language Processing. A key p…

cs.CL2021★ 4 cited

Solving Arithmetic Word Problems with Transformers and Preprocessing of Problem Text

Kaden Griffith, Jugal Kalita

This paper outlines the use of Transformer networks trained to translate math word problems to equivalent arithmetic expressions in infix, prefix, and postfix notations. We compare…