162 citations · 282 across the 6 of their papers we have counts for
6 papers
One to rule them all: Towards Joint Indic Language Hate Speech Detection
Mehar Bhatia, Tenzin Singhay Bhotia, Akshat Agarwal +5
This paper is a contribution to the Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC) 2021 shared task. Social media today is a hotbed of toxic an…
Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages
Kushal Jain, Adwait Deshpande, Kumar Shridhar +2
Language models based on the Transformer architecture have achieved state-of-the-art performance on a wide range of NLP tasks such as text classification, question-answering, and t…
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics
Pedro Alonso, Kumar Shridhar, Denis Kleyko +2
Recent advances in Deep Learning have led to a significant performance increase on several NLP tasks, however, the models become more and more computationally demanding. Therefore,…
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference
Kumar Shridhar, Felix Laumann, Marcus Liwicki
Artificial Neural Networks are connectionist systems that perform a given task by learning on examples without having prior knowledge about the task. This is done by finding an opt…
Subword Semantic Hashing for Intent Classification on Small Datasets
Kumar Shridhar, Ayushman Dash, Amit Sahu +6
In this paper, we introduce the use of Semantic Hashing as embedding for the task of Intent Classification and achieve state-of-the-art performance on three frequently used benchma…
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference
Kumar Shridhar, Felix Laumann, Marcus Liwicki
We introduce a novel uncertainty estimation for classification tasks for Bayesian convolutional neural networks with variational inference. By normalizing the output of a Softplus…