Gargi Balasubramaniam
Selected Work | Selected Talks | News | Contact
I have moved to Google DeepMind.I am an MS CS graduate from the University of Illinois, Urbana Champaign (UIUC). I have been fortunate to be advised by Prof. Han Zhao in the field of transfer learning, where I worked on the topics of distributional robustness (domain generalization for robustness to spurious correlations), adversarial robustness and multimodal machine learning.
💻 Checkout my recent presentation on augmented language models and reasoning at DLCT, ML Collective!
I am honoured to be a Siebel Scholar (class of ‘23). I graduated as a Gold Medallist from BITS Pilani, Goa with a Bachelor’s in Computer Science, where I worked with Prof. Ashwin Srinivasan.
🎵🎵 I am a music buff! A trained Hindustani Classical Vocalist, and like to play the guitar,piano and compose tunes. You will often find me at the piano situated at Illini Union, UIUC . Checkout my covers here!
BITS Pilani, Goa Gold Medallist 2016-2020 |
Microsoft 2020-2021 |
UIUC Siebel Scholar 2021-2023 |
Google DeepMind 2023-Present |
Internships
selected work
- An empirical analysis of Invariant Representations for Domain Generalization in VisionComputer Vision, UIUC, Spring 2022
selected presentations Full List
- "Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution", Ananya Kumar et al., ICLR 2022TML Reading Group, UIUC, April 2022
- "The pitfalls of simplicity bias in neural networks", Harshay Shah et al., NeurIPS 2021TML Reading Group, UIUC, March 2022
- "Impossibility Theorems for Domain Adaptation", Ben David, et al., JMLR 2010Transfer Learning, UIUC (Co-presented with Sam Cheng, Yifei He), Nov 2021
news
Aug '23 | I have joined Google DeepMind as a research engineer! |
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Jun '23 | Joining Amazon as an Applied Science Intern in the Search Science and AI team at Seattle! |
Oct '22 | [NeurIPS DistShift 2022] Paper accepted at NeurIPS ‘22 Workshop on Distribution Shifts! |
May '22 | I started my internship at Meta Reality Labs as a SWE intern. If you’re in the Bay Area, lets connect! |
Apr '22 | [UAI 2022] Our paper on modality selection via submodular maximization is accepted at UAI 2022! |
Aug '21 | I have joined the MS CS program at UIUC! Looking forward to a wonderful time 🌽 |
Jul '21 | Organizing a session on Variational Inference in NNs as part of the WiML UnWorkshop at ICML 2021! |
Mar '21 | Serving as a reviewer on the ICLR 2021 Workshop on Rethinking ML papers! |
Nov '20 | Participated in interesting conversations as part of the Google PAIR Symposium 2020 |
Nov '20 | I will be volunteering for NeurIPS 2020! |
Nov '20 | I have been selected to attend the DS4SG Workshop at Georgia Tech! Key insights coming soon. |
Sep '20 | I participated in a closed QnA with Sir Tony Hoare and Leslie Lamport as part of vHLF 2020. |
Sep '20 | Honoured to be the Gold Medalist, Graduating batch of 2020, BITS Pilani, Goa. |
Aug '20 | Thrilled to be a panelist for the "Research Saturday" webinar on Research Internships by CLIMB DTU |
Jul '20 | Excited to attend my first ever ICML conference! |
Nov '19 | Awarded the third position for the ACM SRC (Undergraduate) at ASE 2019 |
Nov '19 | Awarded the SIGSOFT CAPS Travel Grant for attending ASE 2019. |
Sep '19 | Stood 5th at the Singapore India Hackathon 2019! |
Aug '19 | [COMSNETS 2020] Demonstration paper accepted at COMSNETS 2020! |
Aug '19 | [ASE 2019]Paper accepted at ASE 2019,San Diego for the SRC track! |
May '19 | I will be spending my summer as a DAAD Scholar at the Technical University of Munich, Germany. |
Apr '19 | Won the Smart India Hackathon 2019 for a problem statement by ISRO! |
Mar '19 | Selected for the MITACS Globalink Research Scholarship and the DAAD WISE Scholarship |