Zixuan Ke

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Knowledge Transfer

Novelty Detection

Learning Process

Top Venues

Publications

Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
Bridging the Preference Gap between Retrievers and LLMs. CoRR (2024)
Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
Bridging the Preference Gap between Retrievers and LLMs. ACL (1) (2024)
Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. CoRR (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)
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)
Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
Adapting a Language Model While Preserving its General Knowledge. 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)
Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
Continual Training of Language Models for Few-Shot Learning. CoRR (2022)
Zixuan Ke, Bing Liu
Continual Learning of Natural Language Processing Tasks: A Survey. CoRR (2022)
Zixuan Ke, Mohammad Kachuee, Sungjin Lee
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data. WASSA@ACL (2022)
Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
Continual Training of Language Models for Few-Shot Learning. EMNLP (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)
Zixuan Ke, Mohammad Kachuee, Sungjin Lee
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data. CoRR (2022)
Gyuhak Kim, Bing Liu, Zixuan Ke
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs (2022)
Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
Adapting a Language Model While Preserving its General Knowledge. EMNLP (2022)
Zixuan Ke, Bing Liu, Hu Xu, Lei Shu
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. EMNLP (1) (2021)
Zixuan Ke, Bing Liu, Xingchang Huang
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. CoRR (2021)
Zixuan Ke, Hu Xu, Bing Liu
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. NAACL-HLT (2021)
Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. CoRR (2021)
Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. NeurIPS (2021)
Zixuan Ke, Bing Liu, Hu Xu, Lei Shu
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. CoRR (2021)
Zixuan Ke, Bing Liu, Hao Wang, Lei Shu
Continual Learning with Knowledge Transfer for Sentiment Classification. CoRR (2021)
Zixuan Ke, Hu Xu, Bing Liu
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. CoRR (2021)
Zixuan Ke, Bing Liu, Hao Wang, Lei Shu
Continual Learning with Knowledge Transfer for Sentiment Classification. ECML/PKDD (3) (2020)
Zixuan Ke, Bing Liu, Xingchang Huang
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. NeurIPS (2020)
Zixuan Ke, Hrishikesh Inamdar, Hui Lin, Vincent Ng
Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays. ACL (1) (2019)
Zixuan Ke, Vincent Ng
Automated Essay Scoring: A Survey of the State of the Art. IJCAI (2019)
Zixuan Ke, Winston Carlile, Nishant Gurrapadi, Vincent Ng
Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays. IJCAI (2018)
Winston Carlile, Nishant Gurrapadi, Zixuan Ke, Vincent Ng
Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays. ACL (1) (2018)
Jundong Wang, Peijie Huang, Qiangjia Huang, Zixuan Ke, Piyuan Lin
Dialogue act recognition for Chinese out-of-domain utterances using hybrid CNN-RF. IALP (2016)