ZipIt
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gstoica27
A framework for merging models solving different tasks with different initializations into one multi-task model without any additional training
Hi, Thanks for your great work! I attempted to reproduce the results in Table 1(b) of your paper. From my understanding, this experiment involves the following steps: 1. Divide CIFAR100...
Hello, thank you for the code. Are these codes only compatible with Linux systems? I'm encountering errors that seem to be because I'm using Windows.
I'm sorry to bother you. Firstl, thanks to your implementation and code releasing. I am studying how to combine two trained yolo models into one like someone mentained before. Your...
hi can you please expline why you put this condition at line 51 in the file metric_calculators.py, I'm getting this error a lot and im not sure what is the...
Hi, Thanks for your great work! @gstoica27 Now I have two checkpoints of the same semantic segmentation model trained on differente datasets. The backbone is ResNet. I don't have the...
Hi all, Firstly, congrats on the excellent research! I would like to reproduce Table 3 of the paper and need to first train the models to be merged. However, mmultids_trainer.py...
Hello, author. If I want to merge the module containing multiplication,How i shoudl do ? For example,the【Convolutional Block Attention Module】is following： ``` class ChannelAttentionModule(nn.Module): def __init__(self, channel, ratio=16): super(ChannelAttentionModule, self).__init__()...
Hi @gstoica27, How are you? Can you please provide a graph example for stacked linear layers (i.e. MLP) with activation functions? Graph sketch: Linear->ReLU->Linear->ReLU->Linear->ReLU (3 linear layers as an example)....
 hello, How to merge parallel models？
Hi Thank you for the great work. I am trying to incorporate zipit into DenseNet121 architecture. But I am not able to do it correctly. I am getting errors in...
