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A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies


Nov 05, 2019
Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue


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A Sequential Set Generation Method for Predicting Set-Valued Outputs


Mar 12, 2019
Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock

* Published at AAAI 2019 

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High-Fidelity Vector Space Models of Structured Data


Jan 15, 2019
Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth Forbus, Michael Witbrock

* updated to reflect conference submission, new experiment added 

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Discrete Attacks and Submodular Optimization with Applications to Text Classification


Dec 01, 2018
Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock


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Answering Science Exam Questions Using Query Rewriting with Background Knowledge


Sep 15, 2018
Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock

* 9 pages, 5 figures, 6 tables 

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Improving Natural Language Inference Using External Knowledge in the Science Questions Domain


Sep 15, 2018
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock

* 9 pages, 3 figures, 5 tables 

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Random Warping Series: A Random Features Method for Time-Series Embedding


Sep 14, 2018
Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock

* AIStats18, Oral Paper, Add code link for generating RWS 

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A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset


Jun 01, 2018
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock

* Presented at the Machine Reading for Question Answering (MRQA 2018) Workshop at the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2018). 11 pages, 5 tables, 4 figures 

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Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks


May 25, 2018
Kun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng, Michael Witbrock, Vadim Sheinin

* 16 pages, 3 figures, 4 tables 

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D2KE: From Distance to Kernel and Embedding


May 25, 2018
Lingfei Wu, Ian En-Hsu Yen, Fangli Xu, Pradeep Ravikumar, Michael Witbrock

* 15 pages, 4 tables 

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Image Super-Resolution via Dual-State Recurrent Networks


May 07, 2018
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang


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An Implementation of Back-Propagation Learning on GF11, a Large SIMD Parallel Computer


Jan 04, 2018
Michael Witbrock, Marco Zagha

* Witbrock, M., and Zagha, M. (1989). "An Implementation of Back-Propagation Learning on GF11, a Large SIMD Parallel Computer." School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, Technical Report CMU-CS-89-208 

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Dilated Recurrent Neural Networks


Nov 02, 2017
Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang

* Accepted by NIPS 2017 

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Controlling Search in Very large Commonsense Knowledge Bases: A Machine Learning Approach


Mar 14, 2016
Abhishek Sharma, Michael Witbrock, Keith Goolsbey

* 6 pages 

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