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unlearning-challenge
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starting-kit
Starting kit for the NeurIPS 2023 unlearning challenge
https://unlearning-challenge.github.io/
Apache License 2.0
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How are the unlearning evaluation metrics computed?
#17
saptab
opened
6 months ago
6
Face Synthetics labels
#16
no1nemo
opened
1 year ago
0
Use a deterministic split for forget and retain sets
#15
fabianp
closed
12 months ago
4
Kayla
#14
kay-of-a
closed
11 months ago
0
Print accuracy on retain and forget sets instead of the training set
#13
bkowshik
closed
1 year ago
1
Add retrained model for comparison
#12
fabianp
closed
1 year ago
0
Consideration of network architecture and learning algorithms for unlearning effectiveness
#11
tantrev
opened
1 year ago
2
Only download files if necessary (addressed #8)
#10
fabianp
closed
1 year ago
0
Question Regarding Optimal MIA and Overall Desired Objective
#9
CerebralSeed
closed
1 year ago
3
Suggestion: Avoid Repeated Download of Weights
#8
CerebralSeed
closed
1 year ago
2
Hi Mimee,
#7
ghost
closed
8 months ago
0
What is the reason not to compare with MIA with "Retrained" model?
#6
NorthStar
opened
1 year ago
4
[notebook] add `keras` implementation
#5
innat
closed
11 months ago
11
Initial env
#4
ysy9997
closed
1 year ago
0
Fix some typos in the unlearning notebook
#3
bkowshik
closed
1 year ago
1
suggested fix to comment on losses histogram of the pre-trained model.
#2
AmrKhalifa
closed
1 year ago
1
Update unlearning-CIFAR10.ipynb
#1
AmrKhalifa
closed
1 year ago
1