Eric Eaton

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Paul RuvoloAssociate Professor of Computer Science, Olin College of EngineeringEmail confirmado em olin.edu
Haitham Bou-AmmarReinforcement Learning Team Leader @ Huawei London & H. Assistant Professor @ UCLEmail confirmado em huawei.com
José Marcio LunaInstructor, Mallinckrodt Institute of Radiology, Washington University in St. LouisEmail confirmado em wustl.edu
Marie desJardinsDean and Professor of Computer ScienceEmail confirmado em simmons.edu
Mohammad RostamiUniversity of Southern CaliforniaEmail confirmado em usc.edu
Gilmer ValdesAssistant Professor, University of California San FranciscoEmail confirmado em ucsf.edu
Timothy SolbergSenior Advisor, US Food and Drug AdministrationEmail confirmado em fda.hhs.gov
Lyle UngarUniversity of PennsylvaniaEmail confirmado em cis.upenn.edu
David IseleHonda Research Institute, University of PennsylvaniaEmail confirmado em HONDA-RI.COM
Matthew E. TaylorAssociate Professor, University of AlbertaEmail confirmado em ualberta.ca
Jorge A. MendezUniversity of PennsylvaniaEmail confirmado em seas.upenn.edu
Decebal Constantin MocanuAssistant Professor at University of Twente, Eindhoven University of TechnologyEmail confirmado em utwente.nl
Boyu WangDepartment of Computer Science, University of Western OntarioEmail confirmado em csd.uwo.ca
Terran LaneProfessor of Computer Science, University of New MexicoEmail confirmado em cs.unm.edu
Kiri WagstaffJet Propulsion LaboratoryEmail confirmado em jpl.nasa.gov
Rasul TutunovMassachusetts Institute of TechnologyEmail confirmado em mit.edu
Rachael (Ré) MansbachAssistant Professor of Physics, Concordia UniversityEmail confirmado em concordia.ca
Peter StoneProfessor of Computer Science, The University of Texas at AustinEmail confirmado em cs.utexas.edu
Seungwon LeeUniversity of PennsylvaniaEmail confirmado em seas.upenn.edu
Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolEmail confirmado em google.com

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Eric Eaton

University of Pennsylvania

Email confirmado em cis.upenn.edu - Página inicial

machine learning lifelong learning interactive AI robotics medicine


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
ELLA: An efficient lifelong learning algorithm P Ruvolo, E Eaton International conference on machine learning, 507-515, 2013	343	2013
Online Multi-Task Learning for Policy Gradient Methods HB Ammar, E Eaton, P Ruvolo, ME Taylor International Conference on Machine Learning, 2014	150	2014
Modeling transfer relationships between learning tasks for improved inductive transfer E Eaton, M desJardins, T Lane Machine Learning and Knowledge Discovery in Databases, 317-332, 2008	107	2008
A spin-glass model for semi-supervised community detection E Eaton, R Mansbach Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 900-906, 2012	97	2012
MediBoost: a patient stratification tool for interpretable decision making in the era of precision medicine G Valdes, JM Luna, E Eaton, CB Simone, LH Ungar, TD Solberg Scientific reports 6 (1), 1-8, 2016	95	2016
Deep transfer learning for few-shot SAR image classification M Rostami, S Kolouri, E Eaton, K Kim Remote Sensing 11 (11), 1374, 2019	94	2019
Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning. D Isele, M Rostami, E Eaton IJCAI 16, 1620-1626, 2016	84	2016
An automated measure of MDP similarity for transfer in reinforcement learning HB Ammar, E Eaton, ME Taylor, DC Mocanu, K Driessens, G Weiss, ... Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014	80	2014
Unsupervised cross-domain transfer in policy gradient reinforcement learning via manifold alignment HB Ammar, E Eaton, P Ruvolo, ME Taylor Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015	73	2015
Autonomous cross-domain knowledge transfer in lifelong policy gradient reinforcement learning HB Ammar, E Eaton, JM Luna, P Ruvolo Twenty-fourth international joint conference on artificial intelligence, 2015	71	2015
Active Task Selection for Lifelong Machine Learning. P Ruvolo, E Eaton AAAI, 2013	65	2013
Selective transfer between learning tasks using task-based boosting E Eaton, M desJardins Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011	56	2011
Safe policy search for lifelong reinforcement learning with sublinear regret HB Ammar, R Tutunov, E Eaton International Conference on Machine Learning, 2361-2369, 2015	51	2015
Set-based boosting for instance-level transfer E Eaton, M desJardins 2009 IEEE International Conference on Data Mining Workshops, 422-428, 2009	48	2009
Expert-augmented machine learning ED Gennatas, JH Friedman, LH Ungar, R Pirracchio, E Eaton, ... Proceedings of the National Academy of Sciences 117 (9), 4571-4577, 2020	43	2020
Building more accurate decision trees with the additive tree JM Luna, ED Gennatas, LH Ungar, E Eaton, ES Diffenderfer, ST Jensen, ... Proceedings of the national academy of sciences 116 (40), 19887-19893, 2019	43	2019
Online Multi-Task Learning via Sparse Dictionary Optimization P Ruvolo, E Eaton AAAI, 2014	43	2014
Artificial intelligence for pediatric ophthalmology JE Reid, E Eaton Current opinion in ophthalmology 30 (5), 337-346, 2019	39	2019
Rapid multi-objective optimization with multi-year future weather condition and decision-making support for building retrofit P Shen, W Braham, Y Yi, E Eaton Energy 172, 892-912, 2019	38	2019
Multi-view constrained clustering with an incomplete mapping between views E Eaton, M desJardins, S Jacob Knowledge and information systems 38 (1), 231-257, 2014	34	2014

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