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Samuel Barham
Samuel Barham
AI/ML Researcher, Johns Hopkins University Applied Physics Laboratory
Verified email at jhuapl.edu
Title
Cited by
Cited by
Year
Interpretable adversarial training for text
S Barham, S Feizi
arXiv preprint arXiv:1905.12864, 2019
152019
Reasoning with grounded self-symbols for human-robot interaction
J Brody, S Barham, Y Dai, C Maxey, D Perlis, D Sekora, J Shamwell
2016 AAAI Fall Symposium Series, 2016
82016
Synthetic Cross-language Information Retrieval Training Data
J Mayfield, E Yang, D Lawrie, S Barham, O Weller, M Mason, S Nair, ...
arXiv preprint arXiv:2305.00331, 2023
32023
Megawika: Millions of reports and their sources across 50 diverse languages
S Barham, O Weller, M Yuan, K Murray, M Yarmohammadi, Z Jiang, ...
arXiv preprint arXiv:2307.07049, 2023
22023
Anatomy of a Task: Towards a Tentative Taxonomy of the Mind
D Sekora, S Barham, J Brody, D Perlis
2017 AAAI Fall Symposium Series, 2017
22017
To Burst or Not to Burst: Generating and Quantifying Improbable Text
K Sasse, S Barham, ES Kayi, EW Staley
arXiv preprint arXiv:2401.15476, 2024
12024
Toward a Cognitive Approach to Human-Robot Dialogue
S Barham
2017
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