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Translational Equivariance in Kernelizable Attention

Feb 15, 2021
Max Horn, Kumar Shridhar, Elrich Groenewald, Philipp F. M. Baumann

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Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages

Nov 04, 2020
Kushal Jain, Adwait Deshpande, Kumar Shridhar, Felix Laumann, Ayushman Dash

* Accepted at ML-RSA @ NeurIPS 2020 

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End to End Binarized Neural Networks for Text Classification

Oct 11, 2020
Harshil Jain, Akshat Agarwal, Kumar Shridhar, Denis Kleyko

* 14 pages. Accepted at the SustaiNLP Workshop on Simple and Efficient Natural Language Processing at EMNLP 2020 

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HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics

Mar 03, 2020
Pedro Alonso, Kumar Shridhar, Denis Kleyko, Evgeny Osipov, Marcus Liwicki

* 17 pages, 1 figure, 12 tables 

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ProbAct: A Probabilistic Activation Function for Deep Neural Networks

May 26, 2019
Joonho Lee, Kumar Shridhar, Hideaki Hayashi, Brian Kenji Iwana, Seokjun Kang, Seiichi Uchida

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A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference

Jan 08, 2019
Kumar Shridhar, Felix Laumann, Marcus Liwicki

* arXiv admin note: text overlap with arXiv:1506.02158, arXiv:1703.04977 by other authors 

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Subword Semantic Hashing for Intent Classification on Small Datasets

Oct 16, 2018
Kumar Shridhar, Amit Sahu, Ayushman Dash, Pedro Alonso, Gustav Pihlgren, Vinay Pondeknath, Fotini Simistira, Marcus Liwicki

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Bayesian Convolutional Neural Networks

Sep 10, 2018
Kumar Shridhar, Felix Laumann, Adrian Llopart Maurin, Marcus Liwicki

* arXiv admin note: text overlap with arXiv:1704.02798 by other authors 

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