no code implementations • 7 Feb 2024 • Shivang Chopra, Suraj Kothawade, Houda Aynaou, Aman Chadha
Our proposed DM-SFDA method involves fine-tuning a pre-trained text-to-image diffusion model to generate source domain images using features from the target images to guide the diffusion process.
Source-Free Domain Adaptation Unsupervised Domain Adaptation
no code implementations • 2 Oct 2023 • Shivang Chopra, Suraj Kothawade, Houda Aynaou, Aman Chadha
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 related source domain with sufficient labeled data.
no code implementations • 21 Sep 2023 • Vinay Samuel, Houda Aynaou, Arijit Ghosh Chowdhury, Karthik Venkat Ramanan, Aman Chadha
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.