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Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN

Oct 16, 2020
Yilin Shen, Wenhu Chen, Hongxia Jin


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Generating Dialogue Responses from a Semantic Latent Space

Oct 04, 2020
Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin

* EMNLP 2020 

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Reward Constrained Interactive Recommendation with Natural Language Feedback

May 04, 2020
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin

* Appeared in NeurIPS 2019; Updated version 

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Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

Feb 26, 2020
Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira

* CVPR 2020 

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Iterative Delexicalization for Improved Spoken Language Understanding

Oct 15, 2019
Avik Ray, Yilin Shen, Hongxia Jin

* Proc. Interspeech 2019 (2019): 1183-1187 
* Published at INTERSPEECH 2019, Graz, Austria 

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How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection

Apr 03, 2019
Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Wang

* Accepted to NAACL 2019, 11 pages, 7 figures, 3 tables 

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Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

Feb 11, 2019
Ramprasaath R. Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Dhruv Batra, Devi Parikh

* 13 pages 8 figures 

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A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling

Dec 26, 2018
Yu Wang, Yilin Shen, Hongxia Jin

* 5 pages, published at 2018 NAACL 

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Enhancing the Robustness of Prior Network in Out-of-Distribution Detection

Nov 18, 2018
Wenhu Chen, Yilin Shen, Xin Wang, William Wang

* 9 pages, 11 figures 

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User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks

Sep 18, 2018
Yilin Shen, Xiangyu Zeng, Yu Wang, Hongxia Jin


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Robust Spoken Language Understanding via Paraphrasing

Sep 17, 2018
Avik Ray, Yilin Shen, Hongxia Jin

* Published in Proceedings of INTERSPEECH 2018 

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Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning

Jun 22, 2018
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani


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