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Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora

Oct 16, 2021
Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew Arnold, Xiang Ren

* 8 pages 

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Lifelong Learning of Few-shot Learners across NLP Tasks

Apr 18, 2021
Xisen Jin, Mohammad Rostami, Xiang Ren

* 9 pages 

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Refining Neural Networks with Compositional Explanations

Mar 18, 2021
Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren

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Efficiently Mitigating Classification Bias via Transfer Learning

Oct 24, 2020
Xisen Jin, Francesco Barbieri, Aida Mostafazadeh Davani, Brendan Kennedy, Leonardo Neves, Xiang Ren

* 10 pages 

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Gradient Based Memory Editing for Task-Free Continual Learning

Jun 27, 2020
Xisen Jin, Junyi Du, Xiang Ren

* 4th LifelongML [email protected] 2020 

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Contextualizing Hate Speech Classifiers with Post-hoc Explanation

May 05, 2020
Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren

* To appear in Proceedings of the 2020 Annual Conference of the Association for Computational Linguistics 

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Visually Grounded Continual Learning of Compositional Semantics

May 02, 2020
Xisen Jin, Junyi Du, Xiang Ren

* 7 pages 

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Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models

Nov 08, 2019
Xisen Jin, Junyi Du, Zhongyu Wei, Xiangyang Xue, Xiang Ren

* 12 pages, 9 figures 

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Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation

Aug 31, 2018
Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin

* The 27th ACM International Conference on Information and Knowledge Management, 2018 

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