Comments (1)
h2th3k
commented on August 28, 2024
@JonasGeiping Hello I wonder for TinyImageNet, what the appropriate config would be? I noticed comparing to ImageNet, InvertGrad fails to work stably. Does it need fine tunning? This is the config currently:
config = dict(signed=True,
boxed=True,
cost_fn='sim',
indices='top10',
weights='equal',
lr=0.1,
optim='adam',
restarts=1,
max_iterations=24_000,
total_variation=1e-6,
init='randn',
filter='median',
lr_decay=True,
scoring_choice='loss')
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