Tag: contrastive learning

A new hybrid multimodal transformer framework combines contrastive annotation, cross-modal attention, graph-based lexical expansion, and ordinal hate-intensity scoring, reporting 91.8 ...

A new domain adaptation network learns brake pad vibration patterns at multiple rotational speeds to support cross-speed condition monitoring for ...

A new AI framework first localizes individual disease regions in real-field leaf photographs and then applies similarity-aware contrastive learning, reaching ...

A multi-agent framework called ZOOM uses summarization and supervised LLM debate to extract stable user values from interaction histories, improving ...

Researchers in Egypt report that replacing reconstruction-based pre-training with hierarchical supervised contrastive learning and a per-access-point attention gate improves Wi-Fi ...

A new recommender model called COMPASS learns a user-specific allocation over spectral bands instead of a fixed truncation rank, improving ...

Researchers report a neighbor contrastive learning method that fills missing data views by transferring neighbor relationships and improves clustering accuracy ...

Researchers present ChronoPoints, a LiDAR trajectory-based classifier that distinguishes drone types from bird species in real time using temporal point ...

A new graph-based framework groups similar learners and augments sparse data to improve cognitive diagnosis predictions across three public datasets.

A new contrastive learning framework called VMCL improves knowledge graph embedding for unseen entities and shows smooth, predictable gains as ...