Alexander Ororbia

发表

The neural coding framework for learning generative models pdf

Daniel Kifer, Alexander Ororbia, Daniel Kifer, 2020, Nature communications.

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

Daniel Kifer, C. L. Giles, Alexander Ororbia, 2020, ArXiv.

Learned Iterative Decoding for Lossy Image Compression Systems pdf

Jian Wu, C. Lee Giles, David J. Miller, 2018, ArXiv.

An Empirical Evaluation of Recurrent Neural Network Rule Extraction pdf

C. Lee Giles, Xinyu Xing, Alexander Ororbia, 2017, ArXiv.

Biologically Motivated Algorithms for Propagating Local Target Representations pdf

Alexander Ororbia, Ankur Mali, Alexander Ororbia, 2018, AAAI.

Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack pdf

Daniel Kifer, C. L. Giles, C. Lee Giles, 2020, ICGI.

Spiking Neural Predictive Coding for Continual Learning from Data Streams pdf

Alexander Ororbia, Alexander Ororbia, 2019, Neurocomputing.

Event Ordering with a Generalized Model for Sieve Prediction Ranking

Nathanael Chambers, David Reitter, Alexander Ororbia, 2017, IJCNLP.

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

Wenyi Huang, Zihan Zhou, Xiao Yang, 2016, ArXiv.

Learning to Adapt by Minimizing Discrepancy pdf

David Reitter, C. Lee Giles, Patrick Haffner, 2017, ArXiv.

Visually Grounded, Situated Learning in Neural Models pdf

David Reitter, Alexander Ororbia, Ankur Mali, 2018, ArXiv.

Continuous Ant-Based Neural Topology Search pdf

Travis Desell, Alexander Ororbia, AbdElRahman ElSaid, 2020, EvoApplications.

Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations pdf

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2018, ArXiv.

The Neural State Pushdown Automata pdf

C. Lee Giles, Alexander Ororbia, Ankur Mali, 2019, ArXiv.

Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders pdf

David Reitter, C. Lee Giles, Alexander Ororbia, 2015, ArXiv.

Learning a Deep Hybrid Model for Semi-Supervised Text Classification

David Reitter, C. Lee Giles, Alexander Ororbia, 2015, EMNLP.

Column2Vec: Structural Understanding via Distributed Representations of Database Schemas pdf

Alexander Ororbia, Michael J. Mior, 2019, ArXiv.

Towards building a scholarly big data platform: Challenges, lessons and opportunities

Wenyi Huang, Zhaohui Wu, Hung-Hsuan Chen, 2014, IEEE/ACM Joint Conference on Digital Libraries.

Unifying Adversarial Training Algorithms with Data Gradient Regularization

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2017, Neural Computation.

Adversary Resistant Deep Neural Networks with an Application to Malware Detection

Wenbo Guo, Xue Liu, C. Lee Giles, 2016, KDD.

An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks

Xue Liu, C. Lee Giles, Xinyu Xing, 2017, Neural Computation.

A Hybrid Algorithm for Metaheuristic Optimization pdf

Alexander Ororbia, Sujit Pramod Khanna, 2019, ArXiv.

Learning a Hierarchical Latent-Variable Model of 3D Shapes

C. Lee Giles, Alexander Ororbia, Shikun Liu, 2017, 2018 International Conference on 3D Vision (3DV).

Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild

Zihan Zhou, Xiao Yang, Daniel Kifer, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment.

Daniel Kifer, C. L. Giles, Alexander Ororbia, 2020 .

Learned Neural Iterative Decoding for Lossy Image Compression Systems

Jian Wu, C. Lee Giles, David J. Miller, 2018, 2019 Data Compression Conference (DCC).

Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information

Yang Xu, David Reitter, Alexander Ororbia, 2015, SBP.

Investigating recurrent neural network memory structures using neuro-evolution

Travis Desell, Alexander Ororbia, AbdElRahman ElSaid, 2019, GECCO.

Using Prerequisites to Extract Concept Maps fromTextbooks

Zhaohui Wu, C. Lee Giles, Shuting Wang, 2016, CIKM.

Learning Simpler Language Models with the Delta Recurrent Neural Network Framework pdf

David Reitter, Tomas Mikolov, Alexander Ororbia, 2017, ArXiv.

Multi-modal Variational Encoder-Decoders pdf

Joelle Pineau, Aaron C. Courville, Alexander Ororbia, 2016, ArXiv.

Conducting Credit Assignment by Aligning Local Representations pdf

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2018, 1803.01834.

Defending Against Adversarial Samples Without Security through Obscurity

Wenbo Guo, Xue Liu, Lin Lin, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

A Neural Temporal Model for Human Motion Prediction

C. Lee Giles, Alexander Ororbia, Ankur Mali, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Big Scholarly Data in CiteSeerX: Information Extraction from the Web

Madian Khabsa, C. Lee Giles, Alexander Ororbia, 2015, WWW.

Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization pdf

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2016, ArXiv.

Learning Simpler Language Models with the Differential State Framework

David Reitter, Tomas Mikolov, Alexander Ororbia, 2017, Neural Computation.

Privacy Protection for Natural Language: Neural Generative Models for Synthetic Text Data pdf

Joshua Snoke, Alexander Ororbia, Fridolin Linder, 2016, ArXiv.

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

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2019, ArXiv.

Learning a Hierarchical Latent-Variable Model of Voxelized 3D Shapes pdf

C. Lee Giles, Alexander Ororbia, Shikun Liu, 2017, ArXiv.

Learning Adversary-Resistant Deep Neural Networks pdf

Wenbo Guo, Xue Liu, C. Lee Giles, 2016, ArXiv.

Piecewise Latent Variables for Neural Variational Text Processing

Joelle Pineau, Aaron C. Courville, Alexander Ororbia, 2016, EMNLP.

ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries pdf

Hung-Hsuan Chen, C. Lee Giles, Alexander Ororbia, 2015, ArXiv.

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization

David Reitter, C. Lee Giles, Alexander Ororbia, 2015, ECML/PKDD.

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

Xue Liu, C. Lee Giles, Xinyu Xing, 2018, ArXiv.

Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks pdf

Wenbo Guo, Peng Liu, Xue Liu, 2016, ArXiv.

Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX

Zhaohui Wu, Madian Khabsa, C. Lee Giles, 2014, Feedback Computing.

Smart Library: Identifying Books on Library Shelves Using Supervised Deep Learning for Scene Text Reading

Wenyi Huang, Zihan Zhou, Xiao Yang, 2017, 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL).

Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units pdf

Daniel Kifer, C. L. Giles, Alexander Ororbia, 2021, AAAI.

An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems

C. L. Giles, Alexander Ororbia, Ankur Mali, 2021, 2021 Data Compression Conference (DCC).

Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay pdf

Alexander Ororbia, Travis Desell, Hitesh Vaidya, 2021, ArXiv.

FBERT: A Neural Transformer for Identifying Offensive Content pdf

Alexander Ororbia, Marcos Zampieri, Tharindu Ranasinghe, 2021, EMNLP.

Backprop-Free Reinforcement Learning with Active Neural Generative Coding pdf

Alexander Ororbia, Ankur Mali, Alexander Ororbia, 2021, AAAI.

Towards a Predictive Processing Implementation of the Common Model of Cognition pdf

Alexander Ororbia, Matthew A. Kelly, Alexander Ororbia, 2021, ArXiv.