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Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets


Jan 05, 2021
Nishanth Nakshatri, Arjun Menon, C. Lee Giles, Sarah Rajtmajer, Christopher Griffin

* 17 pages, 7 figures 

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Automating Document Classification with Distant Supervision to Increase the Efficiency of Systematic Reviews


Dec 09, 2020
Xiaoxiao Li, Rabah Al-Zaidy, Amy Zhang, Stefan Baral, Le Bao, C. Lee Giles


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CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using a Non-Expert Crowd


May 20, 2020
Ting-Hao 'Kenneth' Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles

* CODA-19: COVID-19 Research Aspect Dataset: https://github.com/windx0303/CODA-19 

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CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using Non-Expert Crowd


May 06, 2020
Ting-Hao 'Kenneth' Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles

* CODA-19: COVID-19 Research Aspect Dataset: https://github.com/windx0303/CODA-19 

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Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment


Feb 10, 2020
Alexander Ororbia, Ankur Mali, Daniel Kifer, C. Lee Giles

* Initial submission (under review) 

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Automatic Generation of Headlines for Online Math Questions


Nov 27, 2019
Ke Yuan, Dafang He, Zhuoren Jiang, Liangcai Gao, Zhi Tang, C. Lee Giles

* AAA2020 

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Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata


Nov 12, 2019
Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles


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Shapley Homology: Topological Analysis of Sample Influence for Neural Networks


Oct 15, 2019
Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles


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The Neural State Pushdown Automata


Sep 19, 2019
Ankur Mali, Alexander Ororbia, C. Lee Giles

* 10 pages, 7 Table, 1 figure 

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Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively


May 25, 2019
Alexander Ororbia, Ankur Mali, Daniel Kifer, C. Lee Giles

* Initial submission (under review), some revisions to come 

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Verification of Recurrent Neural Networks Through Rule Extraction


Nov 14, 2018
Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles


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Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations


Oct 17, 2018
Alexander Ororbia, Ankur Mali, C. Lee Giles, Daniel Kifer

* Some additional results forthcoming 

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A Neural Temporal Model for Human Motion Prediction


Sep 14, 2018
Anand Gopalakrishnan, Ankur Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia

* 8 pages, 2 figures, 4 tables 

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TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade


Sep 09, 2018
Dafang He, Xiao Yang, Daniel Kifer, C. Lee Giles

* 9 pages(including references) 

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Learning a Hierarchical Latent-Variable Model of 3D Shapes


Aug 04, 2018
Shikun Liu, C. Lee Giles, Alexander G. Ororbia II

* Accepted as oral presentation at International Conference on 3D Vision (3DV), 2018 

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Conducting Credit Assignment by Aligning Local Representations


Jul 12, 2018
Alexander G. Ororbia, Ankur Mali, Daniel Kifer, C. Lee Giles

* Full document revision/overhaul, new results/analyses, new diagrams, addition of appendices 

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Guided Attention for Large Scale Scene Text Verification


Apr 23, 2018
Dafang He, Yeqing Li, Alexander Gorban, Derrall Heath, Julian Ibarz, Qian Yu, Daniel Kifer, C. Lee Giles

* 18 pages 

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Learned Iterative Decoding for Lossy Image Compression Systems


Mar 18, 2018
Alexander G. Ororbia, Ankur Mali, Jian Wu, Scott O'Connell, David Miller, C. Lee Giles

* Important edits / corrections made to algorithm/cost function description 

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Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations


Jan 19, 2018
Chen Liang, Jianbo Ye, Han Zhao, Bart Pursel, C. Lee Giles

* 12 pages 

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A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity


Jan 16, 2018
Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles


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Text Extraction and Retrieval from Smartphone Screenshots: Building a Repository for Life in Media


Jan 04, 2018
Agnese Chiatti, Mu Jung Cho, Anupriya Gagneja, Xiao Yang, Miriam Brinberg, Katie Roehrick, Sagnik Ray Choudhury, Nilam Ram, Byron Reeves, C. Lee Giles


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Learning to Adapt by Minimizing Discrepancy


Nov 30, 2017
Alexander G. Ororbia II, Patrick Haffner, David Reitter, C. Lee Giles

* Note: Additional experiments in support of this paper are still running (updates will be made as they are completed) 

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An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks


Nov 28, 2017
Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles


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Learning Adversary-Resistant Deep Neural Networks


Aug 19, 2017
Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles


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Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network


Jun 07, 2017
Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, C. Lee Giles

* CVPR 2017 Spotlight 

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Adversary Resistant Deep Neural Networks with an Application to Malware Detection


Apr 27, 2017
Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu


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Using Non-invertible Data Transformations to Build Adversarial-Robust Neural Networks


Dec 13, 2016
Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong


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Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading


Nov 22, 2016
Xiao Yang, Dafang He, Wenyi Huang, Zihan Zhou, Alex Ororbia, Dan Kifer, C. Lee Giles


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Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization


Jul 29, 2016
Alexander G. Ororbia II, C. Lee Giles, Daniel Kifer


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