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2020 – today
- 2024
[c8]Gyuhak Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu:
Multi-Modal Continual Pre-Training For Audio Encoders. ICASSP 2024: 691-695- [i8]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 abs/2406.06559 (2024) - 2023
- [c7]Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Pre-training of Language Models. ICLR 2023 - [c6]Gyuhak Kim
, Changnan Xiao, Tatsuya Konishi, Bing Liu:
Learnability and Algorithm for Continual Learning. ICML 2023: 16877-16896 - [c5]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. ICML 2023: 17492-17505 - [i7]Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Learning of Language Models. CoRR abs/2302.03241 (2023) - [i6]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning. CoRR abs/2304.10038 (2023) - [i5]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu:
Learnability and Algorithm for Continual Learning. CoRR abs/2306.12646 (2023) - [i4]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. CoRR abs/2306.14775 (2023) - 2022
- [c4]Gyuhak Kim, Bing Liu, Zixuan Ke:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs 2022: 548-563 - [c3]Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CVPR Workshops 2022: 3855-3865 - [c2]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. NeurIPS 2022 - [c1]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: 367-379 - [i3]Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CoRR abs/2203.09450 (2022) - [i2]Gyuhak Kim, Zixuan Ke, Bing Liu:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoRR abs/2208.09734 (2022) - [i1]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. CoRR abs/2211.02633 (2022)
Coauthor Index
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