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JiahuiYu
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slimmable_networks
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
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fix up the problem in model_profiling when fed 'Modulelist'
#59
13015517713
opened
1 year ago
0
how to run this code with cpu
#58
Chenhait
opened
2 years ago
0
How can I evaluate standalone smaller width model?
#57
abhishekaich27
closed
2 years ago
1
the issues of fuction SlimableConv2D
#56
baiyu12345
opened
3 years ago
1
No module named 'mmdet.ops.nms.gpu_nms'
#55
likunnb
opened
3 years ago
0
Mobile Implementation
#54
jsiloto
opened
3 years ago
0
Slimmable Network using Mixed Precision
#53
pprp
opened
3 years ago
0
Slimming to lower width results in poor accuracy on ARM architectures
#52
octavianmm
opened
3 years ago
0
Some questions with the code.
#51
tfwang08
closed
3 years ago
0
BN initialization for tracking performance during training
#50
MingxiLi
closed
3 years ago
0
US-WDSR
#49
Booooooooooo
opened
3 years ago
1
top1 error = 0.99 when testing
#48
YoungDav
closed
4 years ago
1
Size mismatch for bn running_mean and running_var, us_mobilenet_v1
#47
octavianmm
opened
4 years ago
0
AutoSlim search
#46
HaloTrouvaille
opened
4 years ago
1
Would you share Image Super Resolution example model for Universally Slimmable Network training?
#45
conson0214
closed
4 years ago
1
A Question
#44
Youskrpig
closed
4 years ago
1
memory increasing during testing
#43
octavianmm
closed
4 years ago
1
Run the experiment with distributed mode
#42
hwang595
closed
4 years ago
1
Question about slimming
#41
dada-thu
closed
4 years ago
1
reproducing CIFAR10 results for AutoSlim
#40
RudyChin
opened
4 years ago
8
Using Cifar-100 to train slimmable_networks
#39
BcomedianC
closed
4 years ago
1
why use slimmable_training instead of universally_slimmable_training: True in Autoslim
#38
GYxiaOH
closed
4 years ago
7
model profiling
#37
lyn0102
closed
4 years ago
3
Question about arbitrary width in a universally slimmable network.
#36
sseung0703
closed
4 years ago
8
The accuracy decrease sharply after calibration, even on the given Model zoo
#35
ZhanHuaa
closed
4 years ago
1
Size mismatch when loading us_mobilenet_v2_calibrated.pt
#34
pawopawo
closed
4 years ago
3
Why bn layers do not have weight_decay?
#33
leoozy
closed
4 years ago
1
When will you release Greedy Slimming?
#32
apxlwl
closed
4 years ago
1
Is num_sample_training=2 enough for training ?
#31
bhheo
closed
4 years ago
3
how can i load us_model at a certain ratio
#30
lucaskyle
closed
4 years ago
5
us.mobilenet_v2 cifar
#29
lucaskyle
closed
4 years ago
5
width_mult = None when training us-Net
#28
lucaskyle
closed
4 years ago
3
Calibration with non-uniform widths at test time
#27
MohammadSamragh
closed
5 years ago
6
Fix bug of model loading
#26
JiahuiYu
closed
5 years ago
0
Size mismatch when loading us_mobilenet_v1_calibrated.pt
#24
bermanmaxim
closed
5 years ago
2
Release training code and bn calibration code for US-Nets
#23
JiahuiYu
closed
5 years ago
0
US-Net BatchNorm
#22
semin-park
closed
5 years ago
6
USNet for Obeject Detection
#21
VectorYoung
closed
5 years ago
1
Memory Leak when Training US-Net
#20
VectorYoung
closed
5 years ago
1
Sliming Object detection models
#19
abhigoku10
closed
5 years ago
1
Training Speed, S-Net vs. US-Net
#18
VectorYoung
closed
5 years ago
1
Training Speed
#17
VectorYoung
closed
5 years ago
4
channel configuration of auto-slim mobilenet-v2
#16
twangnh
closed
4 years ago
1
weight decay = 0 for BN parameters
#15
wesleywesleyteng
closed
5 years ago
5
Reproduced Result
#14
VectorYoung
closed
5 years ago
1
is the shufflenet implemented v1 or v2? Thanks.
#13
liwei46
closed
5 years ago
1
How did you combine the hard label loss and the Distillation loss
#12
VectorYoung
closed
5 years ago
7
How to retrain slim-MobilenetV2
#11
Zeitzmz
closed
5 years ago
5
How to collect post statistics of BN
#10
VectorYoung
closed
5 years ago
8
Exciting work! Some questions about universally slimmable networks
#9
TaojiannanYang
closed
5 years ago
3
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