| Continual Pre-training of Language Models Z Ke, Y Shao, H Lin, T Konishi, G Kim, B Liu The Eleventh International Conference on Learning Representations, 2023 | 133 | 2023 |
| A theoretical study on solving continual learning G Kim, C Xiao, T Konishi, Z Ke, B Liu Advances in neural information processing systems 35, 5065-5079, 2022 | 96 | 2022 |
| A Multi-Head Model for Continual Learning via Out-of-Distribution Replay G Kim, Z Ke, B Liu Proceedings of the Conference on Lifelong Learning Agents, 2022 | 43 | 2022 |
| Parameter-Level Soft-Masking for Continual Learning T Konishi, M Kurokawa, C Ono, Z Ke, G Kim, B Liu International Conference on Machine Learning, 2023 | 36 | 2023 |
| Learnability and Algorithm for Continual Learning G Kim, C Xiao, T Konishi, B Liu International Conference on Machine Learning, 2023 | 36 | 2023 |
| Continual learning based on ood detection and task masking G Kim, S Esmaeilpour, C Xiao, B Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 29 | 2022 |
| Open-world continual learning: Unifying novelty detection and continual learning G Kim, C Xiao, T Konishi, Z Ke, B Liu Artificial Intelligence, 104237, 2024 | 17 | 2024 |
| Harnessing business and media insights with large language models Y Bao, AP Shah, N Narang, J Rivers, R Maksey, L Guan, LN Barrere, ... arXiv preprint arXiv:2406.06559, 2024 | 3 | 2024 |
| Continual learning via principal components projection G Kim, B Liu | 2 | 2020 |
| Method and information processing apparatus that perform transfer learning while suppressing occurrence of catastrophic forgetting T Konishi, M Kurokawa, B Liu, G Kim, Z Ke US Patent 12,182,702, 2024 | 1 | 2024 |
| Multi-Modal Continual Pre-Training For Audio Encoders G Kim, HH Wu, L Bondi, B Liu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Continual Learning Using Pseudo-Replay via Latent Space Sampling G Kim, S Esmaeilpour, Z Ke, T Konishi, B Liu OpenReview, 2021 | 1 | 2021 |
| Method and information processing apparatus for performing transfer learning while suppressing occurrence of catastrophic forgetting T Konishi, M Kurokawa, B Liu, G Kim, Z Ke US Patent App. 17/939,215, 2024 | | 2024 |
| Continual Learning Using Out-of-Distribution Detection G Kim University of Illinois at Chicago, 2023 | | 2023 |
| Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning T Konishi, M Kurokawa, C Ono, Z Ke, G Kim, B Liu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 367-379, 2022 | | 2022 |
| Continual Learning with Soft-Masking of Parameter-Level Gradient Flow T Konishi, M Kurokawa, C Ono, Z Ke, G Kim, B Liu OpenReview, 2022 | | 2022 |
| Continual Learning After Model Deployment D Kaymak, G Kim, T Kaichi, T Konishi, B Liu | | |
| Solving Continual Learning via Problem Decomposition G Kim, C Xiao, T Konishi, Z Ke, B Liu | | |
Bing LiuDistinguished Professor, University of Illinois at ChicagoПодтвержден адрес электронной почты в домене uic.edu
