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VILA-Lab
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SRe2L
(NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.
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[KeyError: 542]running SRe2L/validate/train_FKD.py with given config after mod pytorch code
#21
Zhongwei-Luo
opened
2 weeks ago
3
BN parameters or Subset statistics
#20
qwrazdf
closed
2 weeks ago
1
the effect of Squeezing Budget
#19
qwrazdf
closed
1 month ago
2
Pretrained model for the moified VIT
#18
zhangxin-xd
closed
1 month ago
2
How to train the train_FKD.py and load config?
#17
successhaha
closed
2 months ago
2
Add IPC control in recovering
#16
zeyuanyin
closed
5 months ago
0
image-select-idx
#15
LittleHead0
closed
5 months ago
0
add naive KD for fast validation
#14
zeyuanyin
closed
6 months ago
0
SCDD
#13
LittleHead0
closed
5 months ago
0
Synthetic Data from ResNet50
#12
kcs6568
closed
6 months ago
2
Could you share your code about continual Learning based on GDumb
#11
joelulu
closed
4 months ago
1
Hyperparameter settings for CIFAR-100
#10
zhangxin-xd
closed
4 months ago
5
add CDA
#9
zeyuanyin
closed
9 months ago
0
update sre2l
#8
zeyuanyin
closed
9 months ago
0
Some questions about BN-VIT model structure and effect for recovering process
#7
18582088138
closed
9 months ago
1
Pretrained checkpoint on tiny-imagenet
#6
ZhihengCV
closed
10 months ago
1
Update for NeurIPS
#5
zeyuanyin
closed
10 months ago
0
Consult the tiny imagenet E100 for data set release
#4
Junjie31
closed
11 months ago
3
Where can I find the file 'rn18_bn0.01_[4K]_x_l2_x_tv.crop'?
#3
muyangli17
closed
10 months ago
2
How to modify source code for _MapDatasetFetcher
#2
xingyifei2016
closed
11 months ago
4
The img2batch_idx_list doesn't have the corresponding img_idx
#1
shenjiyuan123
closed
11 months ago
6