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Mitigating Biases in Toxic Language Detection through Invariant Rationalization


Jun 14, 2021
Yung-Sung Chuang, Mingye Gao, Hongyin Luo, James Glass, Hung-yi Lee, Yun-Nung Chen, Shang-Wen Li

* The 5th Workshop on Online Abuse and Harms at ACL 2021 

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Meta-learning for downstream aware and agnostic pretraining


Jun 06, 2021
Hongyin Luo, Shuyan Dong, Yung-Sung Chuang, Shang-Wen Li

* Meta Learning and Its Applications to Natural Language Processing workshop at ACL 2021 
* Extended abstract 

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Cooperative Learning of Zero-Shot Machine Reading Comprehension


Mar 22, 2021
Hongyin Luo, Shang-Wen Li, Seunghak Yu, James Glass


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Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks


Jan 24, 2021
Hongyin Luo, Shang-Wen Li, James Glass

* Appears in the Proceedings of the 3rd Clinical Natural Language Processing Workshop 

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Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption


May 19, 2020
Hongyin Luo, Shang-Wen Li, James Glass


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Improving Neural Language Models by Segmenting, Attending, and Predicting the Future


Jun 04, 2019
Hongyin Luo, Lan Jiang, Yonatan Belinkov, James Glass

* Accepted by ACL 2019 

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Adaptive Bidirectional Backpropagation: Towards Biologically Plausible Error Signal Transmission in Neural Networks


Apr 29, 2018
Hongyin Luo, Jie Fu, James Glass

* [v2]Extended the paper to the length of a long paper; added references in introduction; corrected the experiments of BFA. [v3] Added link to source code [v4] Added references 

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DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks


Apr 06, 2016
Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua

* International Joint Conference on Artificial Intelligence, IJCAI, 2016 

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