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Mini-Batch Consistent Slot Set Encoder For Scalable Set Encoding | PDF
The document presents a mini-batch consistent slot set encoder (SSE) designed for scalable set encoding in machine learning, allowing for the processing of large sets in mini-batches while adhering to permutation invariance and equivariance properties. It highlights the limitations of existing methods like set transformers and demonstrates that the proposed SSE can achieve mini-batch consistency by utilizing slots for attention mechanisms. The paper includes experiments on point cloud classification and image reconstruction, showcasing the effectiveness of the SSE in these tasks. - Download as a PDF or view online for free
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