92 citations · 98 across the 5 of their papers we have counts for
6 papers
ELVIS: Empowering Locality of Vision Language Pre-training with Intra-modal Similarity
Sumin Seo, JaeWoong Shin, Jaewoo Kang +2
Deep learning has shown great potential in assisting radiologists in reading chest X-ray (CXR) images, but its need for expensive annotations for improving performance prevents wid…
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology
Jeongun Ryu, Aaron Valero Puche, JaeWoong Shin +9
Cell detection is a fundamental task in computational pathology that can be used for extracting high-level medical information from whole-slide images. For accurate cell detection,…
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity
Byungseok Roh, JaeWoong Shin, Wuhyun Shin +1
DETR is the first end-to-end object detector using a transformer encoder-decoder architecture and demonstrates competitive performance but low computational efficiency on high reso…
Online Hyperparameter Meta-Learning with Hypergradient Distillation
Hae Beom Lee, Hayeon Lee, Jaewoong Shin +3
Many gradient-based meta-learning methods assume a set of parameters that do not participate in inner-optimization, which can be considered as hyperparameters. Although such hyperp…
Large-Scale Meta-Learning with Continual Trajectory Shifting
Jaewoong Shin, Hae Beom Lee, Boqing Gong +1
Meta-learning of shared initialization parameters has shown to be highly effective in solving few-shot learning tasks. However, extending the framework to many-shot scenarios, whic…
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
Jeongun Ryu, Jaewoong Shin, Hae Beom Lee +1
Regularization and transfer learning are two popular techniques to enhance generalization on unseen data, which is a fundamental problem of machine learning. Regularization techniq…