Posts by Collection
portfolio
publications
Feature structure distillation with Centered Kernel Alignment in BERT transferring
Hee-Jun Jung, Doyeon Kim, Seung-Hoon Na, Kangil Kim., Expert Systems with Applications, 2023.
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder
Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim., Transactions on Machine Learning Research (TMLR), 2024.
Consistent Symmetry Representation over Latent Factors of Variation
Hee-Jun Jung, Hoyong Kim, Ilmin Kang, Kangil Kim., International Conference on Learning Representations (ICLR under review), 2025.
Symmetric Space Learning for Combinatorial Generalization
Jaehyoung Jeong, Hee-Jun Jung, Kangil Kim., ICLR, 2026.
Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs
Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim., AISTATS, 2026.
talks
Talk 1 on Relevant Topic in Your Field
Published:
Tutorial 1 on Relevant Topic in Your Field
Published:
Talk 2 on Relevant Topic in Your Field
Published:
teaching
Teaching Assistant - Natural Language Processing (2022)
Graduate Course, GIST, AIGS, 2022
