1 citations · 1 across the 2 of their papers we have counts for
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★ 1 cited
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.…