Gyuhak Kim

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Knowledge Transfer

Statistical Queries

Top Venues

Publications

Gyuhak Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu
Multi-Modal Continual Pre-Training For Audio Encoders. ICASSP (2024)
Yujia Bao, Ankit Parag Shah, Neeru Narang, Jonathan Rivers, Rajeev Maksey, Lan Guan, Louise N. Barrere, Shelley Evenson, Rahul Basole, Connie Miao, Ankit Mehta, Fabien Boulay, Su Min Park, Natalie E. Pearson, Eldhose Joy, Tiger He, Sumiran Thakur, Koustav Ghosal, Josh On, Phoebe Morrison, Tim Major, Eva Siqi Wang, Gina Escobar, Jiaheng Wei, Tharindu Cyril Weerasooriya, Queena Song, Daria Lashkevich, Clare Chen, Gyuhak Kim, Dengpan Yin, Don Hejna, Mo Nomeli, Wei Wei
Harnessing Business and Media Insights with Large Language Models. CoRR (2024)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu
Learnability and Algorithm for Continual Learning. ICML (2023)
Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
Parameter-Level Soft-Masking for Continual Learning. ICML (2023)
Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
Continual Pre-training of Language Models. ICLR (2023)
Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
Continual Learning of Language Models. CoRR (2023)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu
Learnability and Algorithm for Continual Learning. CoRR (2023)
Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
Parameter-Level Soft-Masking for Continual Learning. CoRR (2023)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning. CoRR (2023)
Gyuhak Kim, Zixuan Ke, Bing Liu
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoRR (2022)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
A Theoretical Study on Solving Continual Learning. NeurIPS (2022)
Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) (2022)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
A Theoretical Study on Solving Continual Learning. CoRR (2022)
Gyuhak Kim, Bing Liu, Zixuan Ke
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs (2022)
Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu
Continual Learning Based on OOD Detection and Task Masking. CVPR Workshops (2022)
Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu
Continual Learning Based on OOD Detection and Task Masking. CoRR (2022)