1 citations · 1 across the 4 of their papers we have counts for
4 papers
Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction
Jinwook Park, Kangil Kim
Unsupervised neural grammar induction aims to learn interpretable hierarchical structures from language data. However, existing models face an expressiveness bottleneck, often resu…
RSCF: Relation-Semantics Consistent Filter for Entity Embedding of Knowledge Graph
Junsik Kim, Jinwook Park, Kangil Kim
In knowledge graph embedding, leveraging relation specific entity transformation has markedly enhanced performance. However, the consistency of embedding differences before and aft…
Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening
Hoyong Kim, Semi Lee, Kangil Kim
In the feature space, the collapse between features invokes critical problems in representation learning by remaining the features undistinguished. Interpolation-based augmentation…
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning
Minchan Kwon, Kangil Kim
In real life, adversarial attack to deep learning models is a fatal security issue. However, the issue has been rarely discussed in a widely used class-incremental continual learni…