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JordanAsh
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badge
An implementation of the BADGE batch active learning algorithm.
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remove old badge code
#17
gregcanal
closed
3 months ago
0
get_exp_grad_embedding explanation
#16
cedced19
opened
8 months ago
0
How can I use bait for regression task? It seems like that there is no code for that?
#15
A-zhudong
opened
9 months ago
0
Different loss function
#14
TobiArndt
opened
1 year ago
0
Minor MLP typo
#13
gregcanal
closed
1 year ago
1
Typo in run.py
#12
lukk47
opened
1 year ago
0
Potential Typo in badge_sampling.py
#11
agarwalishika
closed
1 year ago
1
Entropy sampling issue
#10
ElvinKim
opened
2 years ago
0
Does the gradients embedding in the "get_grad_embedding" are lack of '-' ?
#9
czjghost
opened
2 years ago
0
No pseudo/hypothetical labels founded in the code.
#8
SupeRuier
closed
3 years ago
1
.
#7
irdalan
closed
3 years ago
0
Utility of calculating gram matrix in k-means++ method
#6
pshwetank
opened
3 years ago
0
Repetitive indices in badge_sampling.py init_centers function
#5
AIasd
opened
3 years ago
1
Different results
#4
hieuvt29
opened
3 years ago
4
Large embedding vector, large number of classes?
#3
lindsey98
opened
3 years ago
1
license
#2
borgr
opened
3 years ago
0
Got different accuracy results
#1
Sungwon-Han
opened
4 years ago
4