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Indu Panigrahi

Suraj Kumar Panigrahi Porfolio
Suraj Kumar Panigrahi Porfolio

Suraj Kumar Panigrahi Porfolio I'm a ph.d. student in the siebel school for computing and data science at the university of illinois urbana champaign where i am advised by prof. tal august. my research interests generally lie in human computer interaction, machine learning, and explainable ai. View indu panigrahi’s profile on linkedin, a professional community of 1 billion members.

Padma Panigrahi
Padma Panigrahi

Padma Panigrahi I am currently a graduate student working towards a computer science master's degree. i am interested in developing methods to maximize the amount of information that computer vision models learn from small datasets, such as those in the geosciences. Originally introduced to correct large language models, model editing techniques in machine learning have been shown to improve model performance using only small amounts of data and additional training. Indu panigrahi phd student, computer science, university of illinois at urbana champaign joined july 2022. © copyright 2024 ieee all rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies. affiliations: [princeton university, princeton, nj,, usa].

Panigrahi Name Meaning And Origin
Panigrahi Name Meaning And Origin

Panigrahi Name Meaning And Origin Indu panigrahi phd student, computer science, university of illinois at urbana champaign joined july 2022. © copyright 2024 ieee all rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies. affiliations: [princeton university, princeton, nj,, usa]. View indu panigrahi's papers and open source code. see more researchers and engineers like indu panigrahi. Interactivity x explainability: toward understanding how interactivity can improve computer vision explanations indu panigrahi , sunnie s. y. kim , 5 april 2025chi ea '25: proceedings of the extended abstracts of the chi conference on human factors in computing systems doi.org 10.1145 3706599.3719730 view all publications. Cos 429 final project: interpretability in pedestrian detection. authors: indu panigrahi and raymond liu. included in this repository: detectron2 zip file contains custom detectron2 module and custom pycocotools module adapted for this project. View a pdf of the paper titled comparing importance sampling based methods for mitigating the effect of class imbalance, by indu panigrahi and richard zhu.

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