Alexander Ororbia
Orcid: 0000-0002-2590-1310
According to our database1,
Alexander Ororbia
authored at least 103 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems.
CoRR, 2024
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps.
CoRR, 2024
CoRR, 2024
2023
Appl. Soft Comput., November, 2023
Online evolutionary neural architecture search for multivariate non-stationary time series forecasting.
Appl. Soft Comput., September, 2023
Neurocomputing, August, 2023
J. Intell. Inf. Syst., June, 2023
Frontiers Comput. Neurosci., February, 2023
Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment.
CoRR, 2023
A Neuro-Mimetic Realization of the Common Model of Cognition via Hebbian Learning and Free Energy Minimization.
CoRR, 2023
On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks.
CoRR, 2023
On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems.
CoRR, 2022
CogNGen: Constructing the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022
Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder.
Proceedings of the Data Compression Conference, 2022
Proceedings of the Artificial General Intelligence - 15th International Conference, 2022
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay.
CoRR, 2021
Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning.
CoRR, 2021
CoRR, 2021
WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021
Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks.
Proceedings of the 15th International Conference on Grammatical Inference, 2021
Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack.
Proceedings of the 15th International Conference on Grammatical Inference, 2021
Proceedings of the Applications of Evolutionary Computation, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems.
Proceedings of the 31st Data Compression Conference, 2021
Proceedings of the 2021 9th International Conference on Affective Computing and Intelligent Interaction, 2021
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution.
Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations.
IEEE Trans. Neural Networks Learn. Syst., 2020
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation.
CoRR, 2020
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment.
CoRR, 2020
Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication.
Proceedings of the Data Compression Conference, 2020
2019
Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication.
CoRR, 2019
CoRR, 2019
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution.
CoRR, 2019
CoRR, 2019
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively.
CoRR, 2019
Column2Vec: Structural Understanding via Distributed Representations of Database Schemas.
CoRR, 2019
CoRR, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Data Compression Conference, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Neural Comput., 2018
Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations.
CoRR, 2018
A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity.
CoRR, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 2018 International Conference on 3D Vision, 2018
2017
Neural Comput., 2017
Neural Comput., 2017
CoRR, 2017
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
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
Proceedings of the 2nd Workshop on Structured Prediction for 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
Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks.
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
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
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
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
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014