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Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)

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What is the purpose of the select_func [here](https://github.com/thuml/MTlearn/blob/master/src/model_multi_task.py#L42)? The select_func seems not to be continuous and has a big jump at x=0.1. Could you please help clarify why it is...

Err... error jumps out: ```python Traceback (most recent call last): File "train_multi_task.py", line 200, in experiment(config) File "train_multi_task.py", line 88, in experiment data_list.append(iter_.next()) File "/usr/local/lib/python2.7/dist-packages/torch/utils/data/dataloader.py", line 267, in __next__ idx,...

As a quick reproduction, I simply added the following class to file `model_multi_task.py`: ```python class AlexnetNoFc(nn.Module): def __init__(self): super(AlexnetNoFc, self).__init__() alexnet = models.alexnet(pretrained=True) self.features = alexnet.features self.classifier = nn.Sequential() for...