3 papers
cs.CV2025
Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework
Diego Ortego, Marlon RodrÃguez, Mario Almagro +3
Foundation models have revolutionized artificial intelligence across numerous domains, yet their transformative potential remains largely untapped in Extreme Multi-label Classifica…
cs.CL2025
Fine-grained auxiliary learning for real-world product recommendation
Mario Almagro, Diego Ortego, David Jimenez
Product recommendation is the task of recovering the closest items to a given query within a large product corpora. Generally, one can determine if top-ranked products are related…
cs.LG2024
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss
Kunal Dahiya, Diego Ortego, David Jiménez
Extreme Multi-label Classification (XMC) methods predict relevant labels for a given query in an extremely large label space. Recent works in XMC address this problem using deep en…