We also derive the necessary and sufficient conditions for permutation equivariance in deep models. We demonstrate the applicability of our method on population statistic estimation, …
关于 Deep Sets 和 Neural Processes的简单介绍. Link: https://gordonjo. github.io/post/deepsets_nps/ Author: Jonathan Gordon. Machine Learning PhD Student. My …
An example is the task of set expansion (a.k.a. audience expansion), where given a set of objects that are similar to each other (e.g. set of words {lion, tiger, leopard}), our goal is to find …
a deep network architecture that can operate on sets and which can be deployed on a variety of scenarios including both unsupervised and supervised learning tasks. We also derive the …
This family of functions has a special structure which enables us to design a deep network architecture that can operate on sets and which can be deployed on a variety of scenarios …
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