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Contextual Heterogeneous Graph Network for Human-Object Interaction Detection

Oct 20, 2020
Hai Wang, Wei-Shi Zheng, Ling Yingbiao

* Published on ECCV-2020 

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Knowledge Efficient Deep Learning for Natural Language Processing

Aug 28, 2020
Hai Wang

* Ph.D thesis 

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On-The-Fly Information Retrieval Augmentation for Language Models

Jul 03, 2020
Hai Wang, David McAllester

* ACL 2020 NUSE Workshop 

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MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning

Apr 20, 2020
Tong Wei, Feng Shi, Hai Wang, Wei-Wei Tu. Yu-Feng Li

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Improving Pre-Trained Multilingual Models with Vocabulary Expansion

Sep 26, 2019
Hai Wang, Dian Yu, Kai Sun, Janshu Chen, Dong Yu

* CONLL 2019 final version 

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Evidence Sentence Extraction for Machine Reading Comprehension

Feb 23, 2019
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, David McAllester

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To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference

Oct 21, 2018
Qing Qin, Jie Ren, Jialong Yu, Ling Gao, Hai Wang, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang

* 8 pages, To appear in ISPA 2018 

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Learning to Globally Edit Images with Textual Description

Oct 13, 2018
Hai Wang, Jason D. Williams, SingBing Kang

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Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision

Aug 26, 2018
Hai Wang, Hoifung Poon

* EMNLP 2018 final version 

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Emergent Predication Structure in Hidden State Vectors of Neural Readers

May 31, 2017
Hai Wang, Takeshi Onishi, Kevin Gimpel, David McAllester

* Accepted for Repl4NLP: 2nd Workshop on Representation Learning for NLP 

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Broad Context Language Modeling as Reading Comprehension

Feb 16, 2017
Zewei Chu, Hai Wang, Kevin Gimpel, David McAllester

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Who did What: A Large-Scale Person-Centered Cloze Dataset

Aug 19, 2016
Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, David McAllester

* To appear at EMNLP 2016. Our dataset is available at 

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Reducing Runtime by Recycling Samples

Feb 05, 2016
Jialei Wang, Hai Wang, Nathan Srebro

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