A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Johns Hopkins University Applied Physics Laboratory · Teledyne Technologies (United States) · The University of Texas at Austin · University of Southern California · Loughborough University · University of Michigan · SRI International · The University of Texas at San Antonio · University of Massachusetts Amherst · Sandia National Laboratories · University of Pennsylvania · Brown University · HRL Laboratories (United States) · Vanderbilt University · Argonne National Laboratory
- 2023-01-20
- 26
@article{baker2023domainagnostic,
title = {A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems},
author = {Megan M. Baker and Alexander New and Mario Aguilar-Simon and Ziad Al-Halah and Sébastien M. R. Arnold and Ese Ben-Iwhiwhu and Andrew Brna and Ethan Brooks and Ryan C. Brown and Zachary Daniels and Anurag Daram and Fabien Delattre and Ryan Dellana and Eric Eaton and Haotian Fu and Kristen Grauman and Jesse Hostetler and Shariq Iqbal and David Kent and Nicholas Ketz and Soheil Kolouri and George Konidaris and Dhireesha Kudithipudi and Erik Learned-Miller and Seungwon Lee and Michael L. Littman and Sandeep Madireddy and Jorge A. Mendez and Eric Q. Nguyen and Christine Piatko and Praveen K. Pilly and Aswin Raghavan and Abrar Rahman and Santhosh Kumar Ramakrishnan and Neale Ratzlaff and Andrea Soltoggio and Peter Stone and Indranil Sur and Zhipeng Tang and Saket Tiwari and Kyle Vedder and Felix Wang and Zifan Xu and Ángel Yanguas-Gil and Harel Yedidsion and Shangqun Yu and Gautam K. Vallabha},
year = {2023},
journal = {Neural Networks},
eprint = {2301.07799},
archivePrefix = {arXiv},
doi = {10.1016/j.neunet.2023.01.007},
url = {https://arxiv.org/abs/2301.07799},
}