Kumar Shridhar
Kumar Shridhar
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A comprehensive guide to bayesian convolutional neural network with variational inference
K Shridhar, F Laumann, M Liwicki
arXiv preprint arXiv:1901.02731, 2019
852019
Uncertainty estimations by softplus normalization in bayesian convolutional neural networks with variational inference
K Shridhar, F Laumann, M Liwicki
arXiv preprint arXiv:1806.05978, 2018
49*2018
Subword semantic hashing for intent classification on small datasets
K Shridhar, A Dash, A Sahu, GG Pihlgren, P Alonso, V Pondenkandath, ...
2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019
19*2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks
J Lee, K Shridhar, H Hayashi, BK Iwana, S Kang, S Uchida
arXiv preprint arXiv:1905.10761, 2019
192019
HyperEmbed: Tradeoffs between resources and performance in NLP tasks with hyperdimensional computing enabled embedding of n-gram statistics
P Alonso, K Shridhar, D Kleyko, E Osipov, M Liwicki
arXiv preprint arXiv:2003.01821, 2020
112020
End to End Binarized Neural Networks for Text Classification
K Shridhar, H Jain, A Agarwal, D Kleyko
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language …, 2020
72020
Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages
K Jain, A Deshpande, K Shridhar, F Laumann, A Dash
arXiv preprint arXiv:2011.02323, 2020
52020
Author Profiling using Semantic and Syntactic Features: Notebook for PAN at CLEF 2019
G Kovács, V Balogh, P Mehta, K Shridhar, P Alonso, M Liwicki
szte, 2019
32019
Rule based bots vs AI bots Medium
K Shridhar
Aufgerufen am 4, 2017, 2017
32017
Translational Equivariance in Kernelizable Attention
M Horn, K Shridhar, E Groenewald, PFM Baumann
arXiv preprint arXiv:2102.07680, 2021
2021
Scaling Within Document Coreference to Long Texts
R Thirukovalluru, N Monath, K Shridhar, M Zaheer, MSA McCallum
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Artikelen 1–11