129 citations · 717 across the 46 of their papers we have counts for
8 papers · 1 filter
Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition
Krishan Rajaratnam, Jugal Kalita
Neural models enjoy widespread use across a variety of tasks and have grown to become crucial components of many industrial systems. Despite their effectiveness and extensive popul…
Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments
Ali Alkhatlan, Jugal Kalita
This paper provides interested beginners with an updated and detailed introduction to the field of Intelligent Tutoring Systems (ITS). ITSs are computer programs that use artificia…
Parallel Attention Mechanisms in Neural Machine Translation
Julian Richard Medina, Jugal Kalita
Recent papers in neural machine translation have proposed the strict use of attention mechanisms over previous standards such as recurrent and convolutional neural networks (RNNs a…
Abstractive Summarization Using Attentive Neural Techniques
Jacob Krantz, Jugal Kalita
In a world of proliferating data, the ability to rapidly summarize text is growing in importance. Automatic summarization of text can be thought of as a sequence to sequence proble…
Hierarchical Text Generation using an Outline
Mehdi Drissi, Olivia Watkins, Jugal Kalita
Many challenges in natural language processing require generating text, including language translation, dialogue generation, and speech recognition. For all of these problems, text…
Exploring Sentence Vector Spaces through Automatic Summarization
Adly Templeton, Jugal Kalita
Given vector representations for individual words, it is necessary to compute vector representations of sentences for many applications in a compositional manner, often using artif…
Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition
Krishan Rajaratnam, Kunal Shah, Jugal Kalita
An adversarial attack is an exploitative process in which minute alterations are made to natural inputs, causing the inputs to be misclassified by neural models. In the field of sp…
A Survey of the Usages of Deep Learning in Natural Language Processing
Daniel W. Otter, Julian R. Medina, Jugal K. Kalita
Over the last several years, the field of natural language processing has been propelled forward by an explosion in the use of deep learning models. This survey provides a brief in…