2 papers
cs.LG2026
Multi-Modal Tumor Survival Prediction via Graph-Guided Mixture of Experts
H Mathavan, H Liu
Large Language Models (LLMs) have displayed impressive capabilities in handling tasks that require few demonstration examples, making them effective few-shot learners. Despite thei…
cs.LG2023
Inductive Linear Probing for Few-shot Node Classification
Hirthik Mathavan, Zhen Tan, Nivedh Mudiam +1
Meta-learning has emerged as a powerful training strategy for few-shot node classification, demonstrating its effectiveness in the transductive setting. However, the existing liter…