Tag: meta-learning

A modeling study found that MAML-GPR predicted TiN coating thickness more accurately than four reference models under fivefold cross-validation and ...

Improving the efficiency of crop breeding is a critical component of global food security, yet the process remains hindered by ...

A new few-shot learning framework called ViTRelNet co-adapts a fine-tuned Vision Transformer with a learned similarity metric to classify unseen ...

Researchers have developed a meta-learning framework that recommends the best clustering algorithm for generating pseudo-labels on new datasets before any ...

Researchers have built a hybrid malware detection framework combining abstract syntax trees, L-moments, graph analysis, and quantum-inspired neural networks that ...

Researchers have demonstrated a photonic chip that trains itself on the hardware using on-chip holography to compute physical gradients, achieving ...

Researchers have developed FedML-DKD, a federated learning framework that uses Earth Mover's Distance to adaptively balance knowledge distillation and meta-learning, ...

A new hybrid recommender called Meta KG-NCF combines a frozen knowledge graph prior, neural collaborative filtering, and first-order meta-learning to ...

Researchers have unveiled a meta-learning model that recognizes ship types from underwater sound using only a few examples while retaining ...

Chinese researchers have unveiled a lightweight hierarchical deep learning framework that matches or beats state-of-the-art cross-domain few-shot learning methods while ...