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The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, https://arxiv.org/pdf/1710.03463.pdf

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Hi, thank you for this fascinating work and providing a demo of MLDG. Two quick questions: 1) Did you use the first-order approximation in the MLP version of MLDG. The...

I am wondering what is the best practice to apply your method to bigger architectures, e.g. ResNet-50. Should I replace all conv layers in the resnet model? Thanks in advance

@Yash-Vardhan-Sharma Thanks for your interests in our paper. This was originally for demo purpose and for people to easily run the algorithm, so the backbone is just a shallow MLP...

I see you compared with DANN, etc. can you release code for that?

After I read the paper, one question remains for me, you wrote that the domain S is splited into meta-train domains and meta-test domains. For example, the domain can be...