LPS uses a second-order neural network to learn an end-to-end metric for second-order parameter similarity and introduces the ModelSet500 benchmark with 500 trained models.
Deep transfer learning with joint adaptation networks
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Learnable Parameter Similarity
LPS uses a second-order neural network to learn an end-to-end metric for second-order parameter similarity and introduces the ModelSet500 benchmark with 500 trained models.