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Can you release the searched model of ImageNet ? #48

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tuanhui-li opened this issue Jan 13, 2020 · 8 comments
Closed

Can you release the searched model of ImageNet ? #48

tuanhui-li opened this issue Jan 13, 2020 · 8 comments
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@tuanhui-li
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I want to use your searched model for study, can you release the finnal model checkpoints of ImageNet in Table 3 of your paper, or the searched model configirations, both will be ok, thanks !

@D-X-Y
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D-X-Y commented Jan 13, 2020

@tuanhui-li Would you mind to indicate which paper? This repo contains multiple searching algorithms.

@tuanhui-li
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Oh, I mean the paper of 'Network Pruning via Transformable Architecture Search', in configs/NeurIPS-2019, where only contains the model config of CIFAR-X. Can you share the model config of ImageNet and the final checkpoints reported on Table 3 of the original paper ? Thanks .

@D-X-Y
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D-X-Y commented Jan 13, 2020

@tuanhui-li Thanks for your interests. I will upload the configs in 24 hours. Currently, I'm largely re-organizing the codes and can not push those configs right now, sorry for the inconvenience.
Regarding the final checkpoints, I find some of them in my server and will upload them soon, but some checkpoints are lost. Thanks for your patience.

@D-X-Y D-X-Y self-assigned this Jan 13, 2020
@tuanhui-li
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@D-X-Y Maybe you can also provide the shell scripts for ImageNet model searching and inference, which will be much helpful. I think these hyper-parameters for ImageNet are different from the CIFARX, and the results on ImageNet are much more important.

@D-X-Y
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D-X-Y commented Jan 14, 2020

@tuanhui-li Sure, please see the following updates:

Hope my codes and checkpoints are useful to you :)

@D-X-Y D-X-Y closed this as completed Jan 16, 2020
@tuanhui-li
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@D-X-Y I am sorry to bother you again ! Can you release the script for searching imagenet model ?

@haolibai
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Hi, I am also looking forward to search scripts of ResNet 18/50 on Imagenet dataset. Thank you very much!

@D-X-Y
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D-X-Y commented Mar 21, 2020

Sorry for the late reply. I will try to find

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3 participants