Eric Eaton

According to our database1, Eric Eaton authored at least 100 papers between 2005 and 2024.

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Bibliography

2024
A collective AI via lifelong learning and sharing at the edge.
Nat. Mac. Intell., 2024

Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model.
CoRR, 2024

MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL.
CoRR, 2024

Can we hop in general? A discussion of benchmark selection and design using the Hopper environment.
CoRR, 2024

Neural Eulerian Scene Flow Fields.
CoRR, 2024

Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models.
CoRR, 2024

Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical video.
CoRR, 2024

Distributed Continual Learning.
CoRR, 2024

Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence.
CoRR, 2024

Dissecting Deep RL with High Update Ratios: Combatting Value Divergence.
RLJ, 2024

Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning.
RLJ, 2024

A Metacognitive Approach to Out-of-Distribution Detection for Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

ZeroFlow: Scalable Scene Flow via Distillation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A domain-agnostic approach for characterization of lifelong learning systems.
Neural Networks, March, 2023

How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition.
Trans. Mach. Learn. Res., 2023

Gap Minimization for Knowledge Sharing and Transfer.
J. Mach. Learn. Res., 2023

Zero-shot Task Preference Addressing Enabled by Imprecise Bayesian Continual Learning.
CoRR, 2023

ZeroFlow: Fast Zero Label Scene Flow via Distillation.
CoRR, 2023

Replicable Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fuzzy Logic++: Towards Developing Fuzzy Education Curricula Using ACM/IEEE/AAAI CS2023.
Proceedings of the Fuzzy Information Processing 2023, 2023

CAROM Air - Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023


Machine Learning Models for Histopathological Breast Cancer Image Classification.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022
Land Use Prediction using Electro-Optical to SAR Few-Shot Transfer Learning.
CoRR, 2022

Gap Minimization for Knowledge Sharing and Transfer.
CoRR, 2022

Prospective Learning: Back to the Future.
CoRR, 2022

Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Modular Lifelong Reinforcement Learning via Neural Composition.
Proceedings of the Tenth International Conference on Learning Representations, 2022

CompoSuite: A Compositional Reinforcement Learning Benchmark.
Proceedings of the Conference on Lifelong Learning Agents, 2022

SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Towards a theory of out-of-distribution learning.
CoRR, 2021

Sparse PointPillars: Exploiting Sparsity in Birds-Eye-View Object Detection.
CoRR, 2021

Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer.
Proceedings of the 38th International Conference on Machine Learning, 2021

Lifelong Learning of Compositional Structures.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer.
J. Artif. Intell. Res., 2020

Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Deep Transfer Learning for Few-Shot SAR Image Classification.
Remote. Sens., 2019

Zero-Shot Image Classification Using Coupled Dictionary Embedding.
CoRR, 2019

Artificial Intelligence for Pediatric Ophthalmology.
CoRR, 2019

Expert-Augmented Machine Learning.
CoRR, 2019

Transfer Learning via Minimizing the Performance Gap Between Domains.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Welcome to AI matters 4(1).
AI Matters, 2018

An interview with Ayanna Howard.
AI Matters, 2018

Welcome to AI matters, volume 3, issue 4.
AI Matters, 2018

Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program.
AI Matters, 2018

A Recap of the AAAI and IAAI 2018 Conferences and the EAAI Symposium.
AI Mag., 2018

Lifelong Inverse Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Modeling Consecutive Task Learning with Task Graph Agendas.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Lifelong Learning Networks: Beyond Single Agent Lifelong Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines.
Pattern Recognit., 2017

Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees.
CoRR, 2017

AI profiles: an interview with Maja Matarić.
AI Matters, 2017

AI profiles: an interview with Peter Stone.
AI Matters, 2017

AI profiles: an interview with Jim Kurose.
AI Matters, 2017

ACM SIGAI activity report.
AI Matters, 2017

Welcome to AI matters, volume 3, issue 3.
AI Matters, 2017

Welcome to AI matters, volume 3, issue 2.
AI Matters, 2017

Teaching Integrated AI through Interdisciplinary Project-Driven Courses.
AI Mag., 2017

Lifelong Learning with Gaussian Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data.
CoRR, 2016

AI profiles: an interview with Peter Norvig.
AI Matters, 2016

Welcome to AI Matters, volume 2, issue 3.
AI Matters, 2016

Lifelong learning for disturbance rejection on mobile robots.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Welcome to AI Matter: volume 2, issue 1.
AI Matters, 2015

Welcome to AI Matters, volume 2, issue 2.
AI Matters, 2015

Who speaks for AI?
AI Matters, 2015

Reports from the 2015 AAAI Workshop Program.
AI Mag., 2015

Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Multi-view constrained clustering with an incomplete mapping between views.
Knowl. Inf. Syst., 2014

On the Degree Distribution of Pólya Urn Graph Processes.
CoRR, 2014

Computational Sustainability: Editorial Introduction to the Summer and Fall Issues.
AI Mag., 2014

Computational Sustainability.
AI Mag., 2014

Online Multi-Task Learning for Policy Gradient Methods.
Proceedings of the 31th International Conference on Machine Learning, 2014

Online Multi-Task Gradient Temporal-Difference Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Online Multi-Task Learning via Sparse Dictionary Optimization.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Reports of the 2013 AAAI Spring Symposium Series.
AI Mag., 2013

ELLA: An Efficient Lifelong Learning Algorithm.
Proceedings of the 30th International Conference on Machine Learning, 2013

Scalable Lifelong Learning with Active Task Selection.
Proceedings of the Lifelong Machine Learning, 2013

Active Task Selection for Lifelong Machine Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Incorporating Computational Sustainability into AI Education through a Freely-Available, Collectively-Composed Supplementary Lab Text.
Proceedings of the Third Symposium on Education Advances in Artificial Intelligence, 2012

A Spin-Glass Model for Semi-Supervised Community Detection.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Selective Transfer Between Learning Tasks Using Task-Based Boosting.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

The Importance of Selective Knowledge Transfer for Lifelong Learning.
Proceedings of the Lifelong Learning, 2011

2010
Modelling and learning user preferences over sets.
J. Exp. Theor. Artif. Intell., 2010

Multi-view clustering with constraint propagation for learning with an incomplete mapping between views.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Interactive Learning Using Manifold Geometry.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Set-Based Boosting for Instance-Level Transfer.
Proceedings of the ICDM Workshops 2009, 2009

2008
Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007
Using Multiresolution Learning for Transfer in Image Classification.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Learning user preferences for sets of objects.
Proceedings of the Machine Learning, 2006

Multi-Resolution Learning for Knowledge Transfer.
Proceedings of the Proceedings, 2006

2005
A Context-Sensitive and User-Centric Approach to Developing Personal Assistants.
Proceedings of the Persistent Assistants: Living and Working with AI, 2005


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