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Author search results
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- Bing Liu 0001
University of Illinois at Chicago, Department of Computer Science, IL, USA
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Publication search results
found 395 matches
- 2024
- Congcong Jiang, Tieyun Qian, Bing Liu:
One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 32: 239-249 (2024) - 2023
- Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby:
AI Autonomy: Self-initiated Open-world Continual Learning and Adaptation. AI Mag. 44(2): 185-199 (2023) - Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan:
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. ACL (1) 2023: 4002-4017 - Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu:
Class-Incremental Learning based on Label Generation. ACL (2) 2023: 1263-1276 - Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. ACL (Findings) 2023: 1794-1818 - Yiduo Guo, Bing Liu, Dongyan Zhao:
Dealing with Cross-Task Class Discrimination in Online Continual Learning. CVPR 2023: 11878-11887 - Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li:
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. EMNLP (Findings) 2023: 15090-15107 - Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Pre-training of Language Models. ICLR 2023 - Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu:
Learnability and Algorithm for Continual Learning. ICML 2023: 16877-16896 - Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. ICML 2023: 17492-17505 - Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. CoRR abs/2301.08986 (2023) - Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Learning of Language Models. CoRR abs/2302.03241 (2023) - 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) - Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. CoRR abs/2305.05079 (2023) - Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan:
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. CoRR abs/2305.11449 (2023) - Yiduo Guo, Bing Liu, Dongyan Zhao:
Dealing with Cross-Task Class Discrimination in Online Continual Learning. CoRR abs/2305.14657 (2023) - Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu:
Class-Incremental Learning based on Label Generation. CoRR abs/2306.12619 (2023) - Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu:
Learnability and Algorithm for Continual Learning. CoRR abs/2306.12646 (2023) - Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. CoRR abs/2306.14775 (2023) - Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu:
Class Incremental Learning via Likelihood Ratio Based Task Prediction. CoRR abs/2309.15048 (2023) - Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li:
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. CoRR abs/2310.09436 (2023) - Changnan Xiao, Bing Liu:
Conditions for Length Generalization in Learning Reasoning Skills. CoRR abs/2311.16173 (2023) - 2022
- Mi Zhang, Tieyun Qian, Bing Liu:
Exploit Feature and Relation Hierarchy for Relation Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 30: 917-930 (2022) - Yanni Li, Hui Li, Zhi Wang, Bing Liu, Jiangtao Cui, Hang Fei:
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering. IEEE Trans. Knowl. Data Eng. 34(2): 617-630 (2022) - Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu:
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP. AAAI 2022: 6568-6576 - Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu:
Adaptive Orthogonal Projection for Batch and Online Continual Learning. AAAI 2022: 6783-6791 - Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Ben S. Gerber, Nikolaos Agadakos, Shweta Yadav:
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. COLING 2022: 694-706 - Sepideh Esmaeilpour, Lei Shu, Bing Liu:
Open Set Recognition Via Augmentation-Based Similarity Learning. CoLLAs 2022: 875-885 - Gyuhak Kim, Bing Liu, Zixuan Ke:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs 2022: 548-563 - Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CVPR Workshops 2022: 3855-3865
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