Using learned optimizers to make models robust to input noise.

Luke Metz Niru Maheswaranathan Jonathon Shlens Jascha Sohl-Dickstein Ekin D. Cubuk

Published in: CoRR (2019)

Keyphrases

probabilistic model
image noise
computationally efficient
noisy environments
input data
model selection
statistical models
noise level
learned models
random noise
neural network
information retrieval
color images
parameter estimation
gaussian noise
salt pepper