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 | 26 | 2022 |
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 | 23 | 2020 |
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 | 9 | 2020 |
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 | 1 | 2024 |
Intelligent Vision-based Malware Classification using Quantised ResNets S Sridhar, R Seetharaman, S Sanagavarapu 2021 IEEE 12th Annual Information Technology, Electronics and Mobile …, 2021 | 1 | 2021 |
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 | 1 | 2020 |
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 | | |