Search Results for author:
Found 3 papers, 1 papers with code
Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty
In this study, we propose PatchFinder, an algorithm that builds upon VLMs to improve information extraction.
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
In this work, we present an approach, which we call Embeddings for Language/Image-aligned X-Rays, or ELIXR, that leverages a language-aligned image encoder combined or grafted onto a fixed LLM, PaLM 2, to perform a broad range of chest X-ray tasks.
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
How can we learn self-supervised multimodal representations to capture both shared and unique information relevant to downstream tasks?
Cannot find the paper you are looking for? You can
Submit a new open access paper.
