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View Code? Open in Web Editor NEW[NeurIPS 2021] Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning | PyTorch Implementation
License: MIT License
[NeurIPS 2021] Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning | PyTorch Implementation
License: MIT License
In gated_conv_net.py, "weight = weight * w_mod", the weight of convolution kernel seems to have not added the unit matrix J, which is inconsistent with formula 6 of the paper.
In addition, it seems that the code
"elif 'condition' in layer_name:
x = self.conditional_layer(x, embeddings[layer_name]) if embeddings is not None else x "
has not been used.
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