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cbfinn
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maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
MIT License
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Create tests file to highlight usage
#88
davidshumway
opened
1 year ago
0
Interpretation of the results
#87
havershlomi
opened
2 years ago
1
model parameters of meta-training
#86
quyouyuan
opened
2 years ago
0
itr is referenced before assignment in main.py, line 160
#85
rahulbhadani
opened
3 years ago
0
Why was a scheduler/annealing rate not used?
#84
brando90
opened
3 years ago
0
Testing always creates same results across 600 test points
#83
hiyamgh
opened
3 years ago
0
something about Computational Graph
#82
kongbia
closed
4 years ago
0
Why 20000 tasks are set, but only one batch task is used
#81
asker-github
opened
4 years ago
1
Definition of tasks in the Meta Phase
#80
kiranikram
opened
4 years ago
0
include how to cite paper on read me
#79
brando90
closed
3 years ago
0
Sinusoid results
#78
magienguyen
opened
4 years ago
0
First-order approximation
#77
AceChuse
opened
4 years ago
11
Prelosses and Postlosses
#76
Naman9639
opened
4 years ago
2
What weights you are using during testing
#75
Aegon007
opened
4 years ago
0
Initial meta-curvature support for sine regression experiments
#74
silverbottlep
closed
4 years ago
0
wrong comparison in maml.py
#73
shufflebyte
opened
4 years ago
0
Memory efficient MAML
#72
dbaranchuk
opened
4 years ago
0
How to open the results in LOGs
#71
Peterdingpeng
opened
4 years ago
0
Some question about cross-entropy loss xent
#70
WHQ1111
opened
4 years ago
0
Pretrained weights for omniglot
#69
Sameer-Arora
opened
4 years ago
0
ModuleNotFoundError: No module named 'tensorflow.contrib'
#68
TommasoBendinelli
opened
4 years ago
1
what does oracle mean?
#67
WHQ1111
opened
4 years ago
1
what does oracle mean?
#66
WHQ1111
opened
4 years ago
0
5000-way, 3-shot, can be work?
#65
wangxinjun56
opened
4 years ago
0
Why the second derivative is the gradient of the pooling operation.
#64
WHQ1111
opened
4 years ago
1
ValueError: Sample larger than population or is negative in omniglot
#63
Curry30h
opened
4 years ago
2
Is a directory: 'one-shot-classification/run08/training'
#62
WHQ1111
opened
4 years ago
0
Update maml.py
#61
felixshiyong
opened
5 years ago
0
some questions about the code
#60
RumengYi
opened
5 years ago
0
How to make a task distribution in a classification task?
#59
Curry30h
opened
5 years ago
0
how to understand parameter 'FLAGS.metatrain_iterations'?
#58
minibeep
opened
5 years ago
0
A question about the testing script
#57
Arbiter0
opened
5 years ago
0
What's the method do you use to fit sinusoid curve after obtaining predicted values of y & mean loss & stddev & ci95 by using test function in main.py
#56
ShaoqiLee
closed
5 years ago
0
validation result
#55
Student-HXJ
closed
5 years ago
1
May I get the data?
#54
jiangxingxun
opened
5 years ago
1
what is the meaning of "amp" and "phase"?
#53
ucasiggcas
opened
5 years ago
1
Online MAML (FTML) code coming up?
#52
optimass
opened
5 years ago
0
What's the main difference between 3 branches?
#51
minibeep
closed
5 years ago
1
Error: No gradient defined for operation (op type: CropAndResizeGradImage)
#50
john81923
opened
5 years ago
0
Too slow to generate filenames?
#49
cultivater
opened
5 years ago
2
why add accuraciesa with accuraciesb in eval?
#48
MarStarck
opened
5 years ago
1
How are tasks formally defined in the context of few-shot classification?
#47
PabloMessina
opened
5 years ago
0
Please use "Issues" in the way it was
#46
fengredrum
opened
5 years ago
1
About First-order Gradient Approximation
#45
MiFei
opened
5 years ago
0
Questions regarding test time and evaluation methodology
#44
AristotelisPap
closed
5 years ago
0
Question about the batch normalization parameters (beta and gamma, not the stats)
#43
AhmedFrikha
closed
5 years ago
2
Why update gradient of inner loop multiple times?
#42
ghost
opened
5 years ago
0
Cannot understand the insights of the work
#41
ybpaopao
closed
5 years ago
0
A few questions regarding the paper
#40
AristotelisPap
closed
5 years ago
4
A question about the inner gradient calculation
#39
Codelegant92
closed
5 years ago
1
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