issues
search
VITA-Group
/
TENAS
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
MIT License
167
stars
31
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
this code can't be reproduced.
#25
ahmadrasheed
opened
1 week ago
0
Dear researcher, can you share with me the reproduction code of Fig. 3 and 4 in TE-NAS?
#24
fly2tortoise
closed
1 month ago
0
Can not get the same architecture with same random seed and setting
#23
dzk9528
opened
1 year ago
0
How to get test accuracy of the best model on Cifar10?
#22
dzk9528
closed
1 year ago
0
The correlation on NAS-Bench-201
#21
pym1024
closed
1 year ago
0
For DARTS search space-with Imagenet-1k dataset, the time reported in the paper (4 hours) is not even close when replicated.
#20
oshindutta
closed
2 years ago
1
NTK calculation incorrect for networks with multiple outputs?
#11
awe2
closed
3 years ago
6
Calculating number of linear regions
#10
YiteWang
closed
3 years ago
6
Linear_Region_Collector
#9
Yasaman-Haghighi
closed
3 years ago
1
Running NTK/LRC multiple times gives very inconsistent results
#8
Priahi
closed
3 years ago
2
Please tell me which paper does this algorithm come from(in linear_region_counter.py , line 130, def calc_LR())
#7
trestad
closed
3 years ago
1
Segment fault when execute prune_launch.py in bash, while no error in Pycharm
#6
llnb101
closed
3 years ago
1
Where to find architectures searched for ImageNet
#5
MingLin-home
closed
3 years ago
1
How to eval the Darts?
#4
mru4913
closed
3 years ago
1
Question about training time?
#3
mru4913
closed
3 years ago
3
TYPO in code?
#2
mru4913
closed
3 years ago
1
TYPO in paper?
#1
mru4913
closed
3 years ago
1