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Double Descent in Adversarial Training: An Implicit Label Noise Perspective


Oct 07, 2021
Chengyu Dong, Liyuan Liu, Jingbo Shang


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Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training


Jun 21, 2021
Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang

* Accepted by AAAI 2021 

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Multi-head or Single-head? An Empirical Comparison for Transformer Training


Jun 17, 2021
Liyuan Liu, Jialu Liu, Jiawei Han

* Work in progress 

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UCPhrase: Unsupervised Context-aware Quality Phrase Tagging


May 28, 2021
Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang

* KDD 2021 

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Data Profiling for Adversarial Training: On the Ruin of Problematic Data


Feb 15, 2021
Chengyu Dong, Liyuan Liu, Jingbo Shang


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On the Transformer Growth for Progressive BERT Training


Oct 23, 2020
Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han


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Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training


Oct 15, 2020
Zichao Li, Liyuan Liu, Chengyu Dong, Jingbo Shang

* Work in Progress 

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Very Deep Transformers for Neural Machine Translation


Aug 18, 2020
Xiaodong Liu, Kevin Duh, Liyuan Liu, Jianfeng Gao

* 6 pages, 3 figures and 3 tables 

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Partially-Typed NER Datasets Integration: Connecting Practice to Theory


May 01, 2020
Shi Zhi, Liyuan Liu, Yu Zhang, Shiyin Wang, Qi Li, Chao Zhang, Jiawei Han

* Work in progress 

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Understanding the Difficulty of Training Transformers


Apr 17, 2020
Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han


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TBC-Net: A real-time detector for infrared small target detection using semantic constraint


Dec 27, 2019
Mingxin Zhao, Li Cheng, Xu Yang, Peng Feng, Liyuan Liu, Nanjian Wu


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Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling


Oct 09, 2019
Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren

* 13 pages, 7 figures 

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CrossWeigh: Training Named Entity Tagger from Imperfect Annotations


Sep 03, 2019
Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han


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Facet-Aware Evaluation for Extractive Text Summarization


Aug 27, 2019
Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han


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Raw-to-End Name Entity Recognition in Social Media


Aug 14, 2019
Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han


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On the Variance of the Adaptive Learning Rate and Beyond


Aug 08, 2019
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han


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Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction


Apr 19, 2019
Maosen Zhang, Qinyuan Ye, Liyuan Liu, Xiang Ren

* 9 pages, plus references and appendix 

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Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction


Dec 27, 2018
Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren

* AAAI 2019 

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Learning Named Entity Tagger using Domain-Specific Dictionary


Sep 10, 2018
Jingbo Shang, Liyuan Liu, Xiang Ren, Xiaotao Gu, Teng Ren, Jiawei Han


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Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling


Sep 10, 2018
Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han

* EMNLP 2018 

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Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings


Mar 09, 2018
Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han


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Empower Sequence Labeling with Task-Aware Neural Language Model


Nov 23, 2017
Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han

* AAAI 2018 

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Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach


Aug 01, 2017
Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han

* EMNLP 2017 

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