| 2026 | COLT | Model Agreement via Anchoring. | Eric Eaton, Surbhi Goel, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell |
| 2025 | AAAI | Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models. | Jean Park, Kuk Jin Jang, Basam Alasaly, Sriharsha Mopidevi, Andrew Zolensky, Eric Eaton, Insup Lee, Kevin B. Johnson |
| 2025 | ICLR | Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model. | Long Le, Jason Xie, William Liang, Hung-Ju Wang, Yue Yang, Yecheng Jason Ma, Kyle Vedder, Arjun Krishna, Dinesh Jayaraman, Eric Eaton |
| 2025 | ICLR | Neural Eulerian Scene Flow Fields. | Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kemal Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl |
| 2025 | ICLR | MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL. | Claas Voelcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski |
| 2025 | ICML | Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces. | Eric Eaton, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell |
| 2025 | MICCAI | Future Slot Prediction for Unsupervised Object Discovery in Surgical Video. | Guiqiu Liao, Matjaz Jogan, Marcel Hussing, Edward Zhang, Eric Eaton, Daniel A. Hashimoto |
| 2025 | WACV | Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video. | Guiqiu Liao, Matjaz Jogan, Sai Koushik, Eric Eaton, Daniel A. Hashimoto |
| 2024 | AAAI | Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges. | Eric Eaton, Susan L. Epstein |
| 2024 | ICLR | ZeroFlow: Scalable Scene Flow via Distillation. | Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays |
| 2024 | ICRA | A Metacognitive Approach to Out-of-Distribution Detection for Segmentation. | Meghna Gummadi, Cassandra Kent, Karl Schmeckpeper, Eric Eaton |
| 2023 | ICRA | CAROM Air - Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos. | Duo Lu, Eric Eaton, Matt Weg, Wei Wang, Steven Como, Jeffrey Wishart, Hongbin Yu, Yezhou Yang |
| 2022 | ICLR | Modular Lifelong Reinforcement Learning via Neural Composition. | Jorge A. Mendez, Harm van Seijen, Eric Eaton |
| 2022 | IROS | Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems. | Kyle Vedder, Eric Eaton |
| 2021 | ICLR | Lifelong Learning of Compositional Structures. | Jorge A. Mendez, Eric Eaton |
| 2021 | ICML | Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer. | Seungwon Lee, Sima Behpour, Eric Eaton |
| 2019 | AAAI | A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management. | Eric Eaton |
| 2019 | CVPR | SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. | Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim |
| 2019 | IJCAI | Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks. | Seungwon Lee, James Stokes, Eric Eaton |
| 2018 | AAAI | Lifelong Learning Networks: Beyond Single Agent Lifelong Learning. | Mohammad Rostami, Eric Eaton |
| 2016 | IJCAI | Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning. | David Isele, Mohammad Rostami, Eric Eaton |
| 2016 | IROS | Lifelong learning for disturbance rejection on mobile robots. | David Isele, Jos-Marcio Luna, Eric Eaton, Gabriel Victor de la Cruz, James Irwin, Brandon Kallaher, Matthew E. Taylor |
| 2015 | AAAI | Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment. | Haitham Bou-Ammar, Eric Eaton, Paul Ruvolo, Matthew E. Taylor |
| 2015 | ICML | Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret. | Haitham Bou-Ammar, Rasul Tutunov, Eric Eaton |
| 2015 | IJCAI | Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning. | Haitham Bou-Ammar, Eric Eaton, Jos-Marcio Luna, Paul Ruvolo |
| 2014 | AAAI | Online Multi-Task Learning via Sparse Dictionary Optimization. | Paul Ruvolo, Eric Eaton |
| 2014 | AAAI | Online Multi-Task Gradient Temporal-Difference Learning. | Vishnu Purushothaman Sreenivasan, Haitham Bou-Ammar, Eric Eaton |
| 2014 | ICML | Online Multi-Task Learning for Policy Gradient Methods. | Haitham Bou-Ammar, Eric Eaton, Paul Ruvolo, Matthew E. Taylor |
| 2013 | AAAI | Active Task Selection for Lifelong Machine Learning. | Paul Ruvolo, Eric Eaton |
| 2013 | ICML | ELLA: An Efficient Lifelong Learning Algorithm. | Paul Ruvolo, Eric Eaton |
| 2012 | AAAI | A Spin-Glass Model for Semi-Supervised Community Detection. | Eric Eaton, Rachael A. Mansbach |
| 2011 | AAAI | Selective Transfer Between Learning Tasks Using Task-Based Boosting. | Eric Eaton, Marie desJardins |
| 2011 | AAAI | The Importance of Selective Knowledge Transfer for Lifelong Learning. | Eric Eaton, Terran Lane |
| 2010 | AAAI | Interactive Learning Using Manifold Geometry. | Eric Eaton, Gary Holness, Daniel McFarlane |
| 2010 | CIKM | Multi-view clustering with constraint propagation for learning with an incomplete mapping between views. | Eric Eaton, Marie desJardins, Sara Jacob |
| 2009 | ICDM | Set-Based Boosting for Instance-Level Transfer. | Eric Eaton, Marie desJardins |
| 2007 | AAAI | Using Multiresolution Learning for Transfer in Image Classification. | Eric Eaton, Marie desJardins, John Stevenson |
| 2006 | AAAI | Multi-Resolution Learning for Knowledge Transfer. | Eric Eaton |
| 2006 | ICML | Learning user preferences for sets of objects. | Marie desJardins, Eric Eaton, Kiri Wagstaff |