Riya Gupta
I am a Machine Learning Engineer in the Central R&D department, Silicon Laboratories Inc. where I work on ASR and voice recoginition. I graduated from Columbia University NYC, with the MS in Electrical & Computer Engineering Department with the focus on Machine Learning Research, where I was lucky to be advised by Prof. Shih-Fu Chang. I have also worked with Prof. Julia Hirschberg on intent analysis using Generative AI and LLMs.
Prior to Columbia, I was a part of GREYC Lab (UNICAEN-CNRS-ENSICAEN), advised by Prof. Gaƫl Dias working on Neural Text Style Transfer and Natural Language Processing. I was also very fortunate to work with Prof. C.V. Jawahar on computer vision, NLP & IRE. On the job market! DM me on linkedin :)
Google Scholar /
Twitter /
Github /
LinkedIn
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Research
I am extremely intrigued about mulitmodal and representation learning. Most of my prior research has been mulitmodal learning involving Computer Vision and NLP majorly. I picked up interest in Reinforcement Learning & Speech domain during my time at Columbia. in the past I have also worked onInformation Retrieval & Extraction, and applied Computer Vision. I love to indulge in the mathematics behind the machine learning algorithms and models.
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Decision Making and Reinforcement Learning
Riya Gupta,
Akshay Sharma,
Tony Dear
Coursera, 2023
Coursera
An introduction to sequential decision making and reinforcement learning, with a discussion of utility theory to learn how preferences can be represented and modeled for decision making.
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Information Retrieval from the Digitized Books
Riya Gupta,
CV Jawahar
ILTR book Chapter, 2022
arXiv
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video
OCR (Optical Character Recognition) based Search Engine to make an Information Retrieval & Extraction (IRE) system for low resource Indic languages.
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DGAZE: Driver Gaze Mapping on Road
Isha Dua,
Thrupthi Ann John,
Riya Gupta,
CV Jawahar
International Conference on Intelligent Robots and Systems, 2020
project page /
bibtex
A novel and large-scale dataset along with the 3D CNN architecture for driver eye gaze prediction on the road for Indian Road Systems.
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More Stuff
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TA, Computer Vision-II by Prof. Carl Vondrick, Columbia University
CA, Decision Making in Reinforcement Learning (CVN) by Prof. Tony Dear, Columbia University
TA, Analysis of Algorithms I by Prof. Mihalis Yannakakis, Columbia University
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Talks & Presentations
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Tutorial - Computer Vision II, Columbia University, 2022 - Optimisers
RnD, IIIT Hyderabad, 2020 - Multimodal Information Retrieval
Summer School ,IIIT Hyderabad, 2019 - TensorflowLite
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DE&I and PoR
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WTM at Google NYC (Current)
Social chair at EGSC, Columbia University (Spring 22, Fall 22)
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