Seguir
Alexander G. Ororbia
Título
Citado por
Citado por
Año
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
2312017
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
1992019
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
1642014
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
1592015
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
1232016
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
982018
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
952017
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
922018
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
84*2020
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
83*2018
The neural coding framework for learning generative models
A Ororbia, D Kifer
Nature Communications 13 (1), 1-14, 2022
802022
Learning simpler language models with the differential state framework
AG Ororbia, T Mikolov, D Reitter
Neural Computation, 1-26, 2017
802017
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
722014
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
652019
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
64*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
602021
Learning Adversary-Resistant Deep Neural Networks
Q Wang, W Guo, K Zhang, AG Ororbia, X Xing, CL Giles, X Liu
https://arxiv.org/abs/1612.01401, 2016
602016
Unifying Adversarial Training Algorithms with Data Gradient Regularization
AG Ororbia, D Kifer, CL Giles
Neural computation 29 (4), 867-887, 2017
57*2017
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
56*2017
The predictive forward-forward algorithm
A Ororbia, A Mali
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023
402023
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20