Alexander G. Ororbia
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Adversary Resistant Deep Neural Networks with an Application to Malware Detection
Q Wang, W Guo, K Zhang, AG Ororbia, X Xing, X Liu, CL Giles
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
A Neural Temporal Model for Human Motion Prediction
A Gopalakrishnan, A Mali, D Kifer, L Giles, AG Ororbia
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
CiteSeerX: AI in a Digital Library Search Engine.
J Wu, K Williams, HH Chen, M Khabsa, C Caragea, AG Ororbia, D Jordan, ...
AAAI, 2930-2937, 2014
CiteSeerX: AI in a digital library search engine
J Wu, K William, HH Chen, M Khabsa, C Caragea, S Tuarob, AG Ororbia, ...
AI Magazine 36 (3), 35-49, 2015
Using Prerequisites to Extract Concept Maps fromTextbooks
S Wang, AG Ororbia, Z Wu, K Williams, C Liang, B Pursel, CL Giles
Proceedings of the 25th ACM International on Conference on Information and …, 2016
Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild.
D He, X Yang, C Liang, Z Zhou, AG Ororbia, D Kifer, CL Giles
CVPR, 474-483, 2017
Biologically Motivated Algorithms for Propagating Local Target Representations
AG Ororbia, A Mali
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4651-4658, 2018
Learning a Hierarchical Latent-Variable Model of 3D Shapes
S Liu, L Giles, AG Ororbia
2018 International Conference on 3D Vision (3DV), 542-551, 2018
Continual learning of recurrent neural networks by locally aligning distributed representations
A Ororbia, A Mali, CL Giles, D Kifer
IEEE Transactions on Neural Networks and Learning Systems, 2020
Learning simpler language models with the differential state framework
AG Ororbia, T Mikolov, D Reitter
Neural Computation, 1-26, 2017
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks
Q Wang, K Zhang, AG Ororbia, X Xing, X Liu, CL Giles
Neural computation 30 (9), 2568-2591, 2018
Towards building a scholarly big data platform: Challenges, lessons and opportunities
Z Wu, J Wu, M Khabsa, K Williams, HH Chen, W Huang, S Tuarob, ...
Digital Libraries (JCDL), 2014 IEEE/ACM Joint Conference on, 117-126, 2014
The neural coding framework for learning generative models
A Ororbia, D Kifer
Nature Communications 13 (1), 1-14, 2022
Learning Adversary-Resistant Deep Neural Networks
Q Wang, W Guo, K Zhang, AG Ororbia, X Xing, CL Giles, X Liu, 2016
Investigating Recurrent Neural Network Memory Structures using Neuro-evolution
AG Ororbia, AER ElSaid, T Desell
Proceedings of the Genetic and Evolutionary Computation Conference, 446-455, 2019
Piecewise Latent Variables for Neural Variational Text Processing
IV Serban, AG Ororbia, J Pineau, A Courville
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
Smart library: identifying books on library shelves using supervised deep learning for scene text reading
X Yang, D He, W Huang, AG Ororbia, Z Zhou, D Kifer, CL Giles
Proceedings of the 17th ACM/IEEE Joint Conference on Digital Libraries, 245-248, 2017
Unifying Adversarial Training Algorithms with Data Gradient Regularization
AG Ororbia, D Kifer, CL Giles
Neural computation 29 (4), 867-887, 2017
Fbert: A neural transformer for identifying offensive content
D Sarkar, M Zampieri, T Ranasinghe, A Ororbia
Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Learned Neural Iterative Decoding for Lossy Image Compression Systems
AG Ororbia, A Mali, J Wu, S O'Connell, W Dreese, D Miller, CL Giles
2019 Data Compression Conference (DCC), 3-12, 2019
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