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Reward-Free Attacks in Multi-Agent Reinforcement Learning

Dec 02, 2021
Ted Fujimoto, Timothy Doster, Adam Attarian, Jill Brandenberger, Nathan Hodas

* Presented at the NeurIPS 2021 Workshop on Learning in Presence of Strategic Behavior 

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Prototypical Region Proposal Networks for Few-Shot Localization and Classification

Apr 08, 2021
Elliott Skomski, Aaron Tuor, Andrew Avila, Lauren Phillips, Zachary New, Henry Kvinge, Courtney D. Corley, Nathan Hodas

* 9 pages, 1 figure. Submitted to 4th Workshop on Meta-Learning at NeurIPS 2020 

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Explanatory Masks for Neural Network Interpretability

Nov 15, 2019
Lawrence Phillips, Garrett Goh, Nathan Hodas

* Presented at IJCAI-18 Workshop on Explainable Artificial Intelligence (XAI) 

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Metric-Based Few-Shot Learning for Video Action Recognition

Sep 14, 2019
Chris Careaga, Brian Hutchinson, Nathan Hodas, Lawrence Phillips

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Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems

Nov 17, 2017
Enoch Yeung, Soumya Kundu, Nathan Hodas

* 16 pages, 5 figures 

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Assessing the Linguistic Productivity of Unsupervised Deep Neural Networks

Jun 06, 2017
Lawrence Phillips, Nathan Hodas

* To be presented at the 39th Annual Meeting of the Cognitive Science Society 

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