6 citations · 12 across the 4 of their papers we have counts for
4 papers
Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning
Jae-Hun Lee, Doyoung Yoon, ByeongMoon Ji +2
Linear probing (LP) (and -NN) on the upstream dataset with labels (e.g., ImageNet) and transfer learning (TL) to various downstream datasets are commonly employed to evaluate th…
Meta-Learning Sparse Implicit Neural Representations
Jaeho Lee, Jihoon Tack, Namhoon Lee +1
Implicit neural representations are a promising new avenue of representing general signals by learning a continuous function that, parameterized as a neural network, maps the domai…
Data-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and Ensemble
Byeongjo Kim, Chanran Kim, Jaehoon Lee +2
In general, sufficient data is essential for the better performance and generalization of deep-learning models. However, lots of limitations(cost, resources, etc.) of data collecti…
Physics Enhanced Artificial Intelligence
Patrick O'Driscoll, Jaehoon Lee, Bo Fu
We propose that intelligently combining models from the domains of Artificial Intelligence or Machine Learning with Physical and Expert models will yield a more "trustworthy" model…