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Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity.
Ran Liu
Mehdi Azabou
Max Dabagia
Chi-Heng Lin
Mohammad Gheshlaghi Azar
Keith B. Hengen
Michal Valko
Eva L. Dyer
Published in:
NeurIPS (2021)
Keyphrases
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automatically generating
network architecture
generation method
neural network
image processing
graph cuts
automatically generated
computer vision
knowledge base
case study
expert systems
automatically generate
neural model
activity patterns
neural computation
generating high quality