80 citations · 271 across the 17 of their papers we have counts for
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cs.CV2023
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning
Sanghyeon Kim, Hyunmo Yang, Younghyun Kim +2
The recent surge in large-scale foundation models has spurred the development of efficient methods for adapting these models to various downstream tasks. Low-rank adaptation method…
cs.LG2023★ 27 cited
Separable Physics-Informed Neural Networks
Junwoo Cho, Seungtae Nam, Hyunmo Yang +3
Physics-informed neural networks (PINNs) have recently emerged as promising data-driven PDE solvers showing encouraging results on various PDEs. However, there is a fundamental lim…
cs.CV2023★ 2 cited
SMPConv: Self-moving Point Representations for Continuous Convolution
Sanghyeon Kim, Eunbyung Park
Continuous convolution has recently gained prominence due to its ability to handle irregularly sampled data and model long-term dependency. Also, the promising experimental results…