I am a Visiting Researcher (Full-Time) at ServiceNow Research, Montreal. Here, I work with Dr. Étienne Marcotte, Dr. Alexandre Drouin, Dr. Valentina Zantedeschi and Dr. Nicolas Chapados on efficient transformer-based architectures for time series representation learning.
My current research interests are in
transfer learning,
particularly in pre-training, multi-task learning,
continual learning and out-of-distribution generalization. I am currently interested in working on time series data,
however I have previously worked in both computer vision and natural language processing.
Education |
Experience |
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Integrated B.Sc-M.Sc., Software Systems PSG Tech, Coimbatore 2018 - 2023 |
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Jan '23 | ⭐ One paper on out-of-distribution detection accepted to ICLR 2023. This is work in collaboration with folks at ML Collective mentored by Rosanne Liu. |
Jan '23 | Started as a Visiting Researcher (Full-Time) at ServiceNow Research, Montreal. Excited to continue working on problems in time series representation learning! |
Aug '22 | Preliminary work on self-supervised learning objectives for weather time series accepted at the AAAI 2022 Fall Symposium on Climate Change. |
Jul '22 | ⭐ One paper on Class-Incremental Learning accepted as a full paper at ECCV 2022. |
Jun '22 | Started as a Research Intern at IBM Research, India. I'll be working on building self-supervised learning objectives and pre-trained models for geospatial weather time series. |
Jun '22 | ⭐ One paper on cross-task generalization in NLP submitted to EMNLP 2022 (Update: Accepted). |
Apr '22 | One paper on Class-Incremental Learning accepted at the CLVISION Workshop at CVPR 2022 as a non-archival paper (Update: Accepted at ECCV 2022). |
Apr '22 | One reproducibility report on Self-Supervision and Few-shot Learning accepted at the ML Reproducibility Challenge 2021 (Fall Edition) and published at ReScience-C. |
Oct '21 | One paper on out-of-distribution generalization accepted as AAAI 2022 as a student abstract. |
Jun '21 | Started as a Research Assistant at IIT Hyderabad. Grateful to be working under Prof. Vineeth Balasubramanian. |
TL;DR Abstract Paper arXiv Project Page Code
TL;DR Abstract arXiv Project Page Code
TL;DR Abstract arXiv Dataset Code Project Page
Fall 2021 | Deep Learning for Computer Vision, NPTEL (Online Course) | Instructor: Vineeth Balasubramanian | Taken By: 6426 students |
I am a Carnatic Vocalist and a student of Vidwan Bharat Sundar. I have performed in multiple venues in India. Here is a news article that covered one of my concerts in Coimbatore. |
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