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Rahul Seetharaman
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Singularity: Planet-scale, preemptive and elastic scheduling of AI workloads
D Shukla, M Sivathanu, S Viswanatha, B Gulavani, R Nehme, A Agrawal, ...
arXiv preprint arXiv:2202.07848, 2022
262022
Stock price prediction using bi-directional LSTM based sequence to sequence modeling and multitask learning
S Mootha, S Sridhar, R Seetharaman, S Chitrakala
2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile …, 2020
232020
A study on Co-occurrence of various lung diseases and COVID-19 by observing chest X-ray similarity using deep convolutional neural networks
S Sridhar, S Mootha, R Seetharaman, AXA Rayan
2020 Fourth International Conference On Intelligent Computing in Data …, 2020
92020
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries
H Wadhwa, R Seetharaman, S Aggarwal, R Ghosh, S Basu, S Srinivasan, ...
arXiv preprint arXiv:2406.12824, 2024
12024
Intelligent Vision-based Malware Classification using Quantised ResNets
S Sridhar, R Seetharaman, S Sanagavarapu
2021 IEEE 12th Annual Information Technology, Electronics and Mobile …, 2021
12021
Detection and State Analysis of Drowsiness using Multitask Learning with Neural Networks
R Seetharaman, S Sridhar, S Mootha
2020 Fourth International Conference On Intelligent Computing in Data …, 2020
12020
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis
R Ghosh, R Seetharaman, H Wadhwa, S Aggarwal, S Basu, S Srinivasan, ...
The 7th BlackboxNLP Workshop, 0
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