Hardness-Aware Prototypical Contrastive Learning for Hyperspectral Coastal Wetlands Classification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3569763
Abstract: Self-supervised contrastive learning performs well in representing hyperspectral data under limited labels. However, the heterogeneity poses challenges in balancing a fixed temperature to prevent model collapse with accurately identifying hard negatives. In this letter, we… read more here.
Keywords: aware prototypical; prototypical contrastive; hyperspectral coastal; contrastive learning ... See more keywords
Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2023.3304665
Abstract: Reinforcement learning (RL)-based multi-hop reasoning has become an interpretable way for knowledge graph reasoning owing to its persuasive explanations for the predicted results, but the reasoning performance of these methods drops significantly over few-shot relations… read more here.
Keywords: knowledge; graph reasoning; multi hop; knowledge graph ... See more keywords