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Eric Eaton

24 papers · 2013–2025 · 8 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (35) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧬 Topic Evolution πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (72) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (24) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (7)

Conferences

ICLR (6) ICML (5) NIPS (4) AAAI (3) IJCAI (3) JMLR (1) MICCAI (1) WACV (1)

Top co-authors

Marcel Hussing (4) Boyu Wang (3) Haitham Bou Ammar (3) Kyle Vedder (3) Jorge Mendez (3) Paul Ruvolo (3) Jessica Sorrell (2) Dinesh Jayaraman (2) Guiqiu Liao (2) Jorge A Mendez (2)

Research topics

Robotics (1)

Keywords

knowledge transfer (5) lifelong learning (5) catastrophic forgetting (3) multi-task learning (3) policy gradient (3) transfer learning (3) domain adaptation (2) performance gap (2) reinforcement learning (2) quadrotor control (2) semantic segmentation (1) imitation learning (1) reproducible research (1) online learning (1) episodic learning (1) continual learning (1) weakly supervised learning (1) sequential decision making (1) knowledge distillation (1) object detection (1)

Papers

Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video WACV 2025
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models AAAI 2025
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL ICLR 2025
Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model ICLR 2025
Neural Eulerian Scene Flow Fields ICLR 2025
Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces ICML 2025
Future Slot Prediction for Unsupervised Object Discovery in Surgical Video MICCAI 2025
ZeroFlow: Scalable Scene Flow via Distillation ICLR 2024
Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges AAAI 2024
Gap Minimization for Knowledge Sharing and Transfer JMLR 2023
Replicable Reinforcement Learning NIPS 2023
Modular Lifelong Reinforcement Learning via Neural Composition ICLR 2022
Lifelong Learning of Compositional Structures ICLR 2021
Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer ICML 2021
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting NIPS 2020
A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management AAAI 2019
Transfer Learning via Minimizing the Performance Gap Between Domains NIPS 2019
Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks IJCAI 2019
Lifelong Inverse Reinforcement Learning NIPS 2018
Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning IJCAI 2016
Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning IJCAI 2015
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret ICML 2015
Online Multi-Task Learning for Policy Gradient Methods ICML 2014
ELLA: An Efficient Lifelong Learning Algorithm ICML 2013