Alexander Ororbia

According to our database1, Alexander Ororbia authored at least 34 papers between 2014 and 2018.

Collaborative distances :
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Biologically Motivated Algorithms for Propagating Local Target Representations.
CoRR, 2018

Visually Grounded, Situated Learning in Neural Models.
CoRR, 2018

Learned Iterative Decoding for Lossy Image Compression Systems.
CoRR, 2018

Conducting Credit Assignment by Aligning Local Representations.
CoRR, 2018

A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity.
CoRR, 2018

2017
Learning Simpler Language Models with the Differential State Framework.
Neural Computation, 2017

Unifying Adversarial Training Algorithms with Data Gradient Regularization.
Neural Computation, 2017

Learning to Adapt by Minimizing Discrepancy.
CoRR, 2017

An Empirical Evaluation of Recurrent Neural Network Rule Extraction.
CoRR, 2017

Learning Simpler Language Models with the Delta Recurrent Neural Network Framework.
CoRR, 2017

Learning a Hierarchical Latent-Variable Model of Voxelized 3D Shapes.
CoRR, 2017

Adversary Resistant Deep Neural Networks with an Application to Malware Detection.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Smart Library: Identifying Books on Library Shelves Using Supervised Deep Learning for Scene Text Reading.
Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

Event Ordering with a Generalized Model for Sieve Prediction Ranking.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Piecewise Latent Variables for Neural Variational Text Processing.
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017

Piecewise Latent Variables for Neural Variational Text Processing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading.
CoRR, 2016

Learning Adversary-Resistant Deep Neural Networks.
CoRR, 2016

Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks.
CoRR, 2016

Multi-modal Variational Encoder-Decoders.
CoRR, 2016

Privacy Protection for Natural Language: Neural Generative Models for Synthetic Text Data.
CoRR, 2016

Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization.
CoRR, 2016

Using Prerequisites to Extract Concept Maps fromTextbooks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders.
CoRR, 2015

ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries.
CoRR, 2015

CiteSeerX: AI in a Digital Library Search Engine.
AI Magazine, 2015

Big Scholarly Data in CiteSeerX: Information Extraction from the Web.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Learning a Deep Hybrid Model for Semi-Supervised Text Classification.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Towards building a scholarly big data platform: Challenges, lessons and opportunities.
Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014

Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX.
Proceedings of the 9th International Workshop on Feedback Computing, 2014

CiteSeerX: AI in a Digital Library Search Engine.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014


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