Unverified50% confidenceFactExact time
Deep Sets is a framework designed specifically for set-structured data that achieves permutation invariance by applying a shared encoding network φ to each row, aggregating with a symmetric aggregation function, and then processing the result with a ρ network.
1
Sources
50%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
变长矩阵分类：如何为无序集合数据选择神经网络架构
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