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Prospective Learning: Back to the Future


Jan 19, 2022
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal Burns, Kwame Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena Savonenko, Ian Phillips, Michael I. Miller, Rene Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish Thakor, Justus M Kebschull, Marilyn Albert, Jinchong Xu, Marshall Hussain Shuler, Brian Caffo, Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan, Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Adam Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang


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Towards a theory of out-of-distribution learning


Oct 07, 2021
Ali Geisa, Ronak Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Jeffery Dick, Carey E. Priebe, Joshua T. Vogelstein


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Sparse PointPillars: Exploiting Sparsity in Birds-Eye-View Object Detection


Jun 12, 2021
Kyle Vedder, Eric Eaton


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Lifelong Learning of Compositional Structures


Jul 15, 2020
Jorge A. Mendez, Eric Eaton


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Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting


Jul 14, 2020
Jorge A. Mendez, Boyu Wang, Eric Eaton


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Zero-Shot Image Classification Using Coupled Dictionary Embedding


Jun 10, 2019
Mohammad Rostami, Soheil Kolouri, Zak Murez, Yuri Owekcho, Eric Eaton, Kuyngnam Kim

* arXiv admin note: substantial text overlap with arXiv:1709.03688 

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Artificial Intelligence for Pediatric Ophthalmology


Apr 06, 2019
Julia E. Reid, Eric Eaton


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Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition


Feb 20, 2018
Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton


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Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees


Nov 18, 2017
José Marcio Luna, Eric Eaton, Lyle H. Ungar, Eric Diffenderfer, Shane T. Jensen, Efstathios D. Gennatas, Mateo Wirth, Charles B. Simone II, Timothy D. Solberg, Gilmer Valdes

* Presented at NIPS 2017 Symposium on Interpretable Machine Learning 

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Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer


Oct 10, 2017
David Isele, Mohammad Rostami, Eric Eaton

* 28 pages 

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Estimating 3D Trajectories from 2D Projections via Disjunctive Factored Four-Way Conditional Restricted Boltzmann Machines


Apr 29, 2017
Decebal Constantin Mocanu, Haitham Bou Ammar, Luis Puig, Eric Eaton, Antonio Liotta

* Pattern Recognition, ISSN 0031-3203, Elsevier, 2017 

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Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program


Feb 01, 2017
Eric Eaton, Sven Koenig, Claudia Schulz, Francesco Maurelli, John Lee, Joshua Eckroth, Mark Crowley, Richard G. Freedman, Rogelio E. Cardona-Rivera, Tiago Machado, Tom Williams

* Working paper in the 7th Symposium on Educational Advances in Artificial Intelligence (EAAI-17) 

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Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data


Oct 18, 2016
Decebal Constantin Mocanu, Maria Torres Vega, Eric Eaton, Peter Stone, Antonio Liotta


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Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret


May 21, 2015
Haitham Bou Ammar, Rasul Tutunov, Eric Eaton


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Multi-view constrained clustering with an incomplete mapping between views


Oct 09, 2012
Eric Eaton, Marie desJardins, Sara Jacob

* Knowledge and Information Systems 38(1): 231-257, 2014 

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