1 citations · 1 across the 3 of their papers we have counts for
3 papers
On Initializing Transformers with Pre-trained Embeddings
Ha Young Kim, Niranjan Balasubramanian, Byungkon Kang
It has become common practice now to use random initialization schemes, rather than the pre-trained embeddings, when training transformer based models from scratch. Indeed, we find…
On the Localization of Ultrasound Image Slices within Point Distribution Models
Lennart Bastian, Vincent Bürgin, Ha Young Kim +4
Thyroid disorders are most commonly diagnosed using high-resolution Ultrasound (US). Longitudinal nodule tracking is a pivotal diagnostic protocol for monitoring changes in patholo…
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization
Sangrok Lee, Jongseong Bae, Ha Young Kim
Domain generalization (DG) is a principal task to evaluate the robustness of computer vision models. Many previous studies have used normalization for DG. In normalization, statist…