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jsyoon0823
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GAIN
Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018
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about minibatch
#39
GA17AI
closed
1 year ago
1
Training Query
#38
robynande
closed
1 year ago
1
No split training and testing sets？
#37
JeremyChou28
closed
1 year ago
2
Why isn't the loss calculated only with b_i=0 values of the Hints.
#36
javiersgjavi
closed
1 year ago
2
Hint matrix
#35
xyzyc
closed
1 year ago
1
RMSE
#34
rifaadev
closed
2 years ago
1
RMSE is not stable
#33
rifaadev
closed
2 years ago
1
hyperparameters
#32
rifaadev
closed
2 years ago
3
Hyperparameters training
#31
rifaadev
closed
2 years ago
3
original data
#30
theuselesscorporation
closed
2 years ago
1
Mithun
#29
mithun40
closed
2 years ago
0
alpha
#28
MelaUrban
closed
2 years ago
1
Model for the MNIST dataset
#27
mprzewie
closed
3 years ago
1
mixed (categorical and numerical) data
#26
khanwa
closed
3 years ago
3
My dataset is 203454KB, I can't get the dataset after filling, because my dataset is too big? It gives some mistakes.
#25
ghost
closed
3 years ago
1
Made compatible with Tensorflow 2.0+
#24
CosmoLuminous
closed
3 years ago
0
Could you please provide Requirements.txt file
#23
CosmoLuminous
closed
3 years ago
1
Why not both L_G and L_D relevant to V(D,G)?
#22
yezhengli-Mr9
closed
4 years ago
1
Changing only missing values? and scoring?
#21
gautambak
closed
4 years ago
1
Using GAIN in inductive mode
#20
suparno89
closed
4 years ago
1
Differences with the paper
#19
simoons95
closed
4 years ago
1
How to decide Missingness Mechanism
#18
sevhatdoger
closed
4 years ago
1
Is the adversarial loss actually helping?
#17
rvinas
closed
4 years ago
4
MinMax Normalization?
#16
GaryoungLee
closed
4 years ago
1
Bug introduced in new version of the code?
#15
redfungus
closed
4 years ago
2
No train test split?
#14
gordonyip427
closed
4 years ago
6
Using GAIN to imputing the missing cytokines data
#13
biofuture
closed
4 years ago
2
Congeniality of gain
#12
panjj1125
closed
4 years ago
1
How to get a complete data set after filling？
#11
Cold-little-hippo
closed
4 years ago
1
How to deal with categorical variables in this method
#10
HaoXiaoQB
closed
4 years ago
8
Why G_loss doesn’t converge much?
#9
cococ0j
closed
4 years ago
1
The test loss didn't converge while running GAIN_Letter.py
#8
MichaelWei7
closed
4 years ago
1
Baselines calculated only on test set (?)
#7
sdimi
closed
4 years ago
2
Batch size for general dataset
#6
ElApseR
closed
4 years ago
2
Unecessarily repeated Z sampling
#5
guilhermelawless
closed
5 years ago
1
What is the advantage of adversarial Loss?
#4
tanqi724
closed
5 years ago
5
Departures from paper wrt discriminator loss, generator first layer and activation functions?
#3
Elesa
closed
4 years ago
3
Hint mechanism different in the paper?
#2
rcamino
closed
4 years ago
11
why are MSE_test_loss and MSE_train_loss in different types?
#1
lihp11
closed
4 years ago
10