Research

Papers in reversed chronological order.

2026

  1. Efficient Active Search via Amortized Path-Integral Policies
    Arsh Verma*, Tejus Gupta*, and Jeff Schneider
    at IEEE International Conference on Robotics and Automation (ICRA) 2026

2025

  1. Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
    Aroof Aimen, Arsh Verma, Makarand Tapaswi, and 1 more author
    at IEEE International Symposium on Biomedical Imaging (ISBI) 2025
    arXiv

2024

  1. Using LLMs in Software Requirements Specifications: An Empirical Evaluation
    Madhava Krishna, Bhagesh Gaur, Arsh Verma, and 1 more author
    at IEEE International Requirements Engineering (RE) Conference, 2024
    arXiv
  2. Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
    Gregory et al. Holste
    in Medical Image Analysis, 2024
    arXiv

2023

  1. How Can We Tame the Long-Tail of Chest X-ray Datasets?
    Arsh Verma
    at International Conference on Computer Vision Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD), 2023
    arXiv

2022

  1. Can we Adopt Self-supervised Pretraining for Chest X-Rays?
    Arsh Verma, and Makarand Tapaswi
    at Machine Learning for Health (ML4H) Symposium 2022
    arXiv