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Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction

Nov 26, 2020
Yifan Gao, Henghui Zhu, Patrick Ng, Cicero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang


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End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems

Oct 12, 2020
Siamak Shakeri, Cicero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

* EMNLP 2020 

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Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer

Nov 25, 2019
Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

* AAAI 2020 

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Topic Modeling with Wasserstein Autoencoders

Jul 24, 2019
Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang

* to appear at ACL 2019 

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Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget

May 31, 2017
Henghui Zhu, Feng Nan, Ioannis Paschalidis, Venkatesh Saligrama


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Adaptive Classification for Prediction Under a Budget

May 26, 2017
Feng Nan, Venkatesh Saligrama

* arXiv admin note: substantial text overlap with arXiv:1704.07505 

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Comments on the proof of adaptive submodular function minimization

May 10, 2017
Feng Nan, Venkatesh Saligrama


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Dynamic Model Selection for Prediction Under a Budget

Apr 25, 2017
Feng Nan, Venkatesh Saligrama


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Pruning Random Forests for Prediction on a Budget

Jun 16, 2016
Feng Nan, Joseph Wang, Venkatesh Saligrama


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Optimally Pruning Decision Tree Ensembles With Feature Cost

Jan 05, 2016
Feng Nan, Joseph Wang, Venkatesh Saligrama


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Feature-Budgeted Random Forest

Feb 20, 2015
Feng Nan, Joseph Wang, Venkatesh Saligrama


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Max-Cost Discrete Function Evaluation Problem under a Budget

Jan 12, 2015
Feng Nan, Joseph Wang, Venkatesh Saligrama


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