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What is: MATE?

SourceMATE: Multi-view Attention for Table Transformer Efficiency
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

MATE is a Transformer architecture designed to model the structure of web tables. It uses sparse attention in a way that allows heads to efficiently attend to either rows or columns in a table. Each attention head reorders the tokens by either column or row index and then applies a windowed attention mechanism. Unlike traditional self-attention, Mate scales linearly in the sequence length.