2 papers
cs.LG2025
Riemannian Optimization for LoRA on the Stiefel Manifold
Juneyoung Park, Minjae Kang, Seongbae Lee +3
While powerful, large language models (LLMs) present significant fine-tuning challenges due to their size. Parameter-efficient fine-tuning (PEFT) methods like LoRA provide solution…
cs.LG2024
Fast Adaptation with Kernel and Gradient based Meta Leaning
JuneYoung Park, MinJae Kang
Model Agnostic Meta Learning or MAML has become the standard for few-shot learning as a meta-learning problem. MAML is simple and can be applied to any model, as its name suggests.…