2 papers
cs.LG2025
Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models
Miguel Romero, Shuoyang Ding, Corey D. Barret +2
Dense embeddings are fundamental to modern machine learning systems, powering Retrieval-Augmented Generation (RAG), information retrieval, and representation learning. While instru…
cs.LG2019
Targeted transfer learning to improve performance in small medical physics datasets
Miguel Romero, Yannet Interian, Timothy Solberg +1
The growing use of Machine Learning has produced significant advances in many fields. For image-based tasks, however, the use of deep learning remains challenging in small datasets…