3 papers
cs.CV2024
Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation
Shivang Chopra, Suraj Kothawade, Houda Aynaou +1
This paper introduces a novel approach to leverage the generalizability of Diffusion Models for Source-Free Domain Adaptation (DM-SFDA). Our proposed DMSFDA method involves fine-tu…
cs.CV2023
Transcending Domains through Text-to-Image Diffusion: A Source-Free Approach to Domain Adaptation
Shivang Chopra, Suraj Kothawade, Houda Aynaou +1
Domain Adaptation (DA) is a method for enhancing a model's performance on a target domain with inadequate annotated data by applying the information the model has acquired from a r…
cs.CL2023
Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges
Vinay Samuel, Houda Aynaou, Arijit Ghosh Chowdhury +2
Large Language Models (LLMs) have demonstrated impressive zero shot performance on a wide range of NLP tasks, demonstrating the ability to reason and apply commonsense. A relevant…