When and how convolutional neural networks generalize to out-of-distribution category–viewpoint combinations
Name
2007.08032.pdf
Description
Submitted version
Size
36.56 MB
Format
Adobe PDF
Checksum (MD5)
5bbab773b4c5d8dcb8ee7daf68f7a597
Author(s)
Madan, Spandan
Henry, Timothy
Dozier, Jamell
Ho, Helen
Bhandari, Nishchal
Sasaki, Tomotake
Durand, Frédo
Pfister, Hanspeter
Boix, Xavier
Date Issued
February 2022
Journal
Nature Machine Intelligence
Publisher
Springer Science and Business Media LLC
Citation
Madan, Spandan, Henry, Timothy, Dozier, Jamell, Ho, Helen, Bhandari, Nishchal et al. 2022. "When and how convolutional neural networks generalize to out-of-distribution category–viewpoint combinations." Nature Machine Intelligence, 4 (2).
Version
Original manuscript
MIT Department
Center for Brains, Minds, and Machines
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/s42256-021-00437-5
