Posts by Collection
portfolio
publications
Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs
Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim., IEEE Transactions on Pattern Analysis and Machine Intelligence (under review), 2023.
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.
talks
Talk 1 on Relevant Topic in Your Field
Published:
Tutorial 1 on Relevant Topic in Your Field
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Talk 2 on Relevant Topic in Your Field
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teaching
Teaching Assistant - Natural Language Processing (2022)
Graduate Course, GIST, AIGS, 2022