no code implementations • 7 Feb 2024 • Pragnya Ramjee, Bhuvan Sachdeva, Satvik Golechha, Shreyas Kulkarni, Geeta Fulari, Kaushik Murali, Mohit Jain
The healthcare landscape is evolving, with patients seeking more reliable information about their health conditions, treatment options, and potential risks.
1 code implementation • 29 Oct 2023 • Dzung Pham, Shreyas Kulkarni, Amir Houmansadr
Federated learning (FL) has recently emerged as a privacy-preserving approach for machine learning in domains that rely on user interactions, particularly recommender systems (RS) and online learning to rank (OLTR).
1 code implementation • 28 Sep 2022 • Shreyas Kulkarni, Peng Yin, Sebastian Scherer
Additionally, we introduce a semantic consistency loss that encourages realistic renderings of novel views.
2 code implementations • 27 Aug 2022 • Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati
We also present a pipeline that combines Image Processing and Deep Learning models.
1 code implementation • 16 Jun 2022 • Jogendra Nath Kundu, Akshay Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Kulkarni, Varun Jampani, R. Venkatesh Babu
Conventional domain adaptation (DA) techniques aim to improve domain transferability by learning domain-invariant representations; while concurrently preserving the task-discriminability knowledge gathered from the labeled source data.