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Author

Nícolas Roque dos Santos

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#artificial intelligence Preprint Oct 2026

Cluster Validation Indices as Self-Supervised Objectives for Text Representation Learning

Self-supervised fine-tuning refines the embedding space of a pretrained language encoder without labels. However, the commonly used approaches are computationally expensive. Specifically, contrastive learning-based methods need multiview data and in-batch negative examples, while negative-free approaches require auxili...

Kishor Kumar Bhaumik, Nícolas Roque dos Santos, Neil Shah et al. · 0 citations
#machine learning Preprint Sep 2026

JEDI: JEPA-to-Edge Distillation for Efficient Cropland Segmentation from Satellite Imagery

Large vision models provide useful representations for remote-sensing segmentation but are often too expensive for deployment at the satellite or field edge. Existing feature-level distillation methods also tend to assume similar teacher and student architectures and often stop feature alignment when task training begi...

Kishor Kumar Bhaumik, Nícolas Roque dos Santos, Jia Chen et al. · 0 citations

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