About me

I am a first year Ph.D student at the Department of Computer Sciences, University of Wisconsin-Madison. My interests are in the broad areas of weakly supervised learning and deep learning theory. Currently, I am trying to understand various aspects of Machine Teaching and Algorithmic High-Dimensional Robust Statistics.

Previously, I worked with the amazing Prof. PS Sastry at the Department of Electrical Engineering, Indian Institute of Science, Bangalore where my research was supported by the Prime Minister’s Research Fellowship. My work was on the problem of learning under label noise and adversarial noise with deep neural nets. This is also where I did my M.Tech (Research) (with Prof. PS Sastry in the same department) and, as a part of my master’s thesis, I worked on robust supervised learning in the presence of label noise.

Before that, I spent a year as a Project Assistant at SPIRE Lab, IISc where I was advised by Prof. Prasanta Kumar Ghosh on speech-based automated disease onset detection and severity prediction of Amyotrophic Lateral Sclerosis (ALS) and Parkinson’s Disease.

Here is my Curriculum Vitae

Contact me at dbp[dot]patel[dot]1994[at]gmail[dot]com or dbpatel5[at]wisc[dot]edu.

News

• 08/2023 - I have moved to UW-Madison for my PhD at the CS Department!
• 07/2023 - Student volunteer for COLT’23. Amazing experience!
• 12/2022 - I got selected for ‘Research Week with Google 2023’. Excited for this meet!
• 11/2022 - I got selected for the ‘Online Asian Machine Learning School’ at ACML 2022. I will be presenting our WACV’23 work. See you there!
• 10/2022 - Our work Adaptive Selection for Robust Learning under label Noise has been accepted for WACV 2023. Codes and arXiv preprint have been updated! If you have any questions about our work, please reach out via email or Twitter!
• 08/2022 - My research will be financially supported by the prestigious Prime Minister’s Research Fellowship. Grateful to receive this honour.
• 06/2021 - I successfully defended my M.Tech (Research) thesis on 23rd July 2021! The thesis and codes are available here and here.
• 06/2021 - New preprint of our work Adaptive Selection for Robust Learning under label Noise is up on arXiv.
• 05/2021 - Presented our work Memorization in Deep Neural Networks: Does the Loss Function Matter? at PAKDD 2021.
• 05/2021 - Joined as a Ph.D student under Prof. PS Sastry at the Department of Electrical Engineering, IISc.