Lifelong Learning and Multi-task Learning

AUTHORS TITLE YEAR VENUE / PUBLISHER
Paul Ruvolo & Eric Eaton Online Multi-Task Learning via Sparse Dictionary Optimization 2014 AAAI Conference on Artificial Intelligence (AAAI-14)
 
Vishnu Purushothaman Sreenivasan, Haitham Bou Ammar, & Eric Eaton Online Multi-Task Gradient Temporal-Difference Learning 2014 AAAI Conference on Artificial Intelligence (AAAI-14)
 
Haitham Bou Ammar, Eric Eaton, Paul Ruvolo, & Matthew E. Taylor Online Multi-Task Learning for Policy Gradient Methods 2014 International Conference on Machine Learning (ICML-14)
 
Paul Ruvolo & Eric Eaton Active Task Selection for Lifelong Machine Learning 2013 AAAI Conference on Artificial Intelligence (AAAI-13)
 
Paul Ruvolo & Eric Eaton ELLA: An Efficient Lifelong Learning Algorithm 2013 International Conference on Machine Learning (ICML-13)
 
Paul Ruvolo & Eric Eaton Online Multi-Task Learning based on K-SVD
Superceded by the AAAI-14 paper Online Multi-Task Learning via Sparse Dictionary Optimization.
2013 ICML 2013 Workshop on Theoretically Grounded Transfer Learning
 
Eric Eaton (chair) Lifelong Machine Learning: Proceedings of the 2013 AAAI Spring Symposium 2013 AAAI Press
 
Paul Ruvolo & Eric Eaton Scalable Lifelong Learning with Active Task Selection
Superceded by the AAAI-13 paper Active Task Selection for Lifelong Machine Learning.
2013 AAAI 2013 Spring Symposium on Lifelong Machine Learning
 

Transfer Learning

AUTHORS TITLE YEAR VENUE / PUBLISHER
Haitham Bou Ammar, Eric Eaton, Matthew E. Taylor, Decebal Mocanu, Kurt Driessens, Gerhard Weiss, & Karl Tuyls An automated measure of MDP similarity for transfer in reinforcement learning 2014 AAAI'14 Workshop on Machine Learning for Interactive Systems
 
Diane Oyen, Eric Eaton, & Terran Lane Inferring tasks for improved network structure discovery 2012 Snowbird Learning Workshop
 
Eric Eaton & Marie desJardins Selective Transfer Between Learning Tasks Using Task-Based Boosting 2011 AAAI Conference on Artificial Intelligence (AAAI-11)
 
Eric Eaton & Terran Lane The Importance of Selective Knowledge Transfer for Lifelong Learning 2011 AAAI-11 Workshop on Lifelong Learning from Sensorimotor Data
 
Eric Eaton & Marie desJardins Set-Based Boosting for Instance-level Transfer
Superceded by the AAAI-11 paper Selective Transfer Between Learning Tasks Using Task-Based Boosting.
2009 International Conference on Data Mining Workshop on Transfer Mining
 
Eric Eaton Selective Knowledge Transfer for Machine Learning 2009 Ph.D. Thesis, University of Maryland Baltimore County
 
Eric Eaton, Marie desJardins, & Terran Lane Using functions on a model graph for inductive transfer
Superceded by the ECML-08 paper Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer.
2008 Northeast Student Colloquium on Artificial Intelligence (NESCAI-08)
 
Eric Eaton, Marie desJardins, & Terran Lane Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer
Acceptance rate: 20%
2008 European Conference on Machine Learning (ECML)
 
Eric Eaton, Marie desJardins, & John Stevenson Using multiresolution learning for transfer in image classification 2007 National Conference on Artificial Intelligence (AAAI)
 
Eric Eaton Multi-Resolution Learning for Knowledge Transfer 2006 National Conference on Artificial Intelligence (AAAI)
 
Eric Eaton & Marie desJardins Knowledge Transfer with a Multiresolution Ensemble of Classifiers 2006 ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning
 

Constrained Clustering

AUTHORS TITLE YEAR VENUE / PUBLISHER
Eric Eaton, Marie desJardins, & Sara Jacob Multi-view constrained clustering with an incomplete mapping between views 2014 Knowledge and Information Systems 38(1)
 
Eric Eaton, Marie desJardins, & Sara Jacob Multi-View Clustering with Constraint Propagation for Learning with an Incomplete Mapping Between Views 2010 Conference on Information and Knowledge Management (CIKM'10)
 
Eric Eaton Clustering with Propagated Constraints 2005 Master's Thesis, University of Maryland Baltimore County
 

Preference Learning

AUTHORS TITLE YEAR VENUE / PUBLISHER
Kiri Wagstaff, Marie desJardins, & Eric Eaton Modeling and learning user preferences over sets 2010 Journal of Experimental & Theoretical Artificial Intelligence 22(3)
 
Marie desJardins, Eric Eaton, & Kiri Wagstaff Learning user preferences for sets of objects
See DDPref Software for associated code. Acceptance rate: 20%. Awarded recognition as a NASA Tech Brief in 2008
2006 International Conference on Machine Learning (ICML)
 
Eric Eaton, Marie desJardins, & Kiri Wagstaff DDPref Software: Learning preferences for sets of objects 2006 Available online at: http://maple.cs.umbc.edu/ ericeaton/software/DDPref.zip
 

Relational Network Analysis

AUTHORS TITLE YEAR VENUE / PUBLISHER
Rasul Tutunov, Haitham Bou Ammar, Ali Jadbabaie, & Eric Eaton On the degree distribution of Pólya urn graph processes 2014 arXiv:1410.8515 Preprint
 
Eric Eaton & Rachael Mansbach A spin-glass model for semi-supervised community detection 2012 AAAI Conference on Artificial Intelligence (AAAI-12)
 

Interactive Learning

AUTHORS TITLE YEAR VENUE / PUBLISHER
Eric Eaton, Gary Holness, & Daniel McFarlane Interactive Learning using Manifold Geometry 2010 AAAI Conference on Artificial Intelligence (AAAI-10)
 
Eric Eaton, Gary Holness, & Daniel McFarlane Interactive Learning using Manifold Geometry
Superseded by the AAAI-10 conference paper Interactive Learning using Manifold Geometry.
2009 AAAI Fall Symposium on Manifold Learning and Its Applications (AAAI Technical Report FS-09-04)
 
Marie desJardins, Eric Eaton, & Kiri Wagstaff A context-sensitive and user-centric approach to developing personal assistants 2005 AAAI Spring Symposium on Persistent Assistants
 

Computational Sustainability

AUTHORS TITLE YEAR VENUE / PUBLISHER
Eric Eaton, Carla Gomes, & Brian Williams, editors Special Issue of AI Magazine on Computational Sustainability 2014 AAAI Press
 
Eric Eaton, Carla Gomes, & Brian Williams Computational Sustainability 2014 AI Magazine 35(2)
 

Education

AUTHORS TITLE YEAR VENUE / PUBLISHER
Douglas Fisher, Bistra Dilkina, Eric Eaton, & Carla Gomes Incorporating computational sustainability into AI education through a freely-available, collectively-composed supplementary lab text 2012 AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-12)
 
Douglas Fisher, Bistra Dilkina, Eric Eaton, & Carla Gomes Incorporating computational sustainability into AI education through a freely-available, collectively-composed supplementary lab text [Oral Presentation] 2012 International Conference on Computational Sustainability (CompSust'12)
 
Eric Eaton Gridworld Search and Rescue: A Project Framework for a Course in Artificial Intelligence 2008 AAAI-08 AI Education Colloquium
 
Eric Eaton Gridworld Search and Rescue Software 2008 Available online at: http://maple.cs.umbc.edu/ ericeaton/searchandrescue/
 

Unspecified

AUTHORS TITLE YEAR VENUE / PUBLISHER
Eric Eaton, Dan McFarlane, & Martin Hofmann Analysis of Complex Data Using Heterogeneous Relational Models 2009 Technical Report #DS-104-421-1610WP, Lockheed Martin Advanced Technology Laboratories
 
Eric Eaton, Gary Holness, & Dan McFarlane Situational Awareness through Interactive Learning 2009 Technical Report #DS-104-421-1607WP, Lockheed Martin Advanced Technology Laboratories
 
Meghann Lomas, Daniel McFarlane, Eric Eaton, Robert Szczerba, & Jerry Franke Dynamic Ensemble Planning for Tactical Hierarchies 2009 Technical Report #DS-104-421-1604WP, Lockheed Martin Advanced Technology Laboratories
 
Eric Eaton, Katherine Guo, & Martin Hofmann Predicting and Verifying Effects of Cyber Operations from Indirect Observations 2009 Technical Report #DS-105-421-1598WP, Lockheed Martin Advanced Technology Laboratories
 
Eric Eaton, Katherine Guo, & Martin Hofmann Multimodal and Temporal Learning using Relational Networks 2008 Technical Report #DS-105-421-1583RFI, Lockheed Martin Advanced Technology Laboratories
 
Eric Eaton & Padmavathia Mundur A multi-tier architecture for video communication systems 2003 Undergraduate Research and Creative Achievement Day, University of Maryland Baltimore County