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Posts by Collection
portfolio
Portfolio item number 2
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publications
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
Published in: International Conference on Computer Vision 2023 (ICCV'23), 2023
The study introduces OSBORN, a novel metric for assessing the transferability of model ensembles to downstream tasks, considering image and task disparities as well as cohesiveness between models
Advancing Ante Hoc Explainable Models through Generative Adversarial Networks
Accepted at 2 Workshops: Human-Centric Representation Learning Workshop at AAAI-24, Deployable AI Workshop at AAAI-24, 2024
The study introduces a concept learning framework, integrating an explanation generator via adversarial training, enhancing model interpretability for visual classification.
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Operating Systems
CS3510, Indian Institute of Technology, Hyderabad, India, 2022
I have served as a Teaching Assistant for the Operating Systems course, taught by Dr. Sathya Peri. My responsibilities extended beyond traditional instructional duties; I offered one-on-one support to students, ensuring they understood the concepts with clarity and confidence. Additionally, I assisted in the evaluation by grading the assignments and examinations.
Explainability in Machine Learning
AI51020, Indian Institute of Technology, Hyderabad, India, 2023
I have served as a Teaching Assistant for the Explainability in Machine Learning course, under the guidance of Dr. Mopuri Konda Reddy. This wasn’t just a standard course; it was uniquely structured around open-ended research projects. My role involved mentoring diverse groups of students, guiding them through the difficulties of their individual projects. My commitment ensured that they navigated the challenges of their research with clarity, ultimately fostering innovation and deeper understanding of the subject.
Tensors: Techniques, Algorithms, and Applications
CS6070, Indian Institute of Technology, Hyderabad, India, 2024
I am serving as a Teaching Assistant for the Tensors: Techniques, Algorithms, and Applications course, under the guidance of Dr. Rameshwar Pratap. Apart from the regular TA duties such as creating and grading assignments and exams, I also offer one-on-one support to students and help them understand the concepts better.