Anay Majee
PhD Candidate in Computer Science
Located at Dallas, TX
I am a PhD Candidate at the Department of Computer Science at The University of Texas at Dallas where I am advised by Prof.Rishabh Iyer at the CARAML lab.
Prior to this, I was a Data and Applied Scientist II at Microsoft, BingAds team, where I worked on Dense Information Retrieval technique from short phrases (queries). I have also worked as an Applied Research Scientist at Intel India, where I was advised by Dr.Anbumani Subramanian to develop perception learning models for autonomous navigation tasks to make self-driving cars safer and more reliable in unconstrained, heterogeneous traffic environments like India (realized through the India Driving Dataset).
Even Earlier, I worked as an Undergraduate Researcher at the Smart Grid Laboratory of Vellore Institute of Technology where I was advised by Dr. Gnana Swathika O.V. Here, my research realized a large-scale electrical grid through a dynamic computation graph to identify and rectify critical faults without any human intervention.
Check out my list of publications and projects for more details on my research !
news
| Aug, 2025 |
Our paper titled “InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity” has been accepted at ICDM 2025, short paper. This is a joint work with Souradeep Nanda and Prof. Rishabh Iyer.
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| Dec, 2024 |
Our paper “TabGLM: Tabular Graph Language Model for Learning Transferable Representations through Multi-Modal Consistency Minimization” has been accepted to AAAI 2025, main track. This paper was a part of my internship project at Fujitsu Research of America (FRA) over Summer 2024.
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| Dec, 2024 | I received the “Travel Award” from The Graduate Student Assembly, UTDallas for my paper SMILe presented at ECCV 2024. |
| Jul, 2024 |
Our paper titled “SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection” has been accepted at ECCV 2024, main track. A big shout out to Ryan Sharp who I mentored towards his MS thesis through this project.
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| May, 2024 |
Our paper titled “SCoRe : Submodular Combinatorial Representation Learning” has been accepted at ICML 2024, main track.
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