no code implementations • 9 Mar 2024 • Kevin Joshua T, Arnav Agarwal, Shriya Sanjay, Yash Sarda, John Sahaya Rani Alex, Saurav Gupta, Sushant Kumar, Vishwanath Kamath
To address these challenges an end-to-end model that identifies threads and prioritises their response generation based on the importance was developed, involving a systematic decomposition of the problem into discrete components - thread detection, prioritisation, and performance optimisation which was meticulously analysed and optimised.
1 code implementation • 5 Sep 2022 • Abhay Rawat, Isha Dua, Saurav Gupta, Rahul Tallamraju
In our approach, to align the two domains, we leverage contrastive losses to learn a semantically meaningful and a domain agnostic feature space using the supervised samples from both domains.
1 code implementation • 14 Apr 2022 • Saurav Gupta, Sourav Lakhotia, Abhay Rawat, Rahul Tallamraju
Common challenges that image classification models encounter when localizing objects are, (a) they tend to look at the most discriminative features in an image that confines the localization map to a very small region, (b) the localization maps are class agnostic, and the models highlight objects of multiple classes in the same image and, (c) the localization performance is affected by background noise.
no code implementations • 17 Oct 2016 • Saurav Gupta, Nitin Anand Shrivastava, Abbas Khosravi, Bijaya Ketan Panigrahi
Accurate prediction of wind ramp events is critical for ensuring the reliability and stability of the power systems with high penetration of wind energy.