Feb 26, 2020 · We propose Sparse Sinkhorn Attention, a new efficient and sparse method for learning to attend. Our method is based on differentiable sorting of internal ...
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Sparse Sinkhorn Attention is an attention mechanism that reduces the memory complexity of the dot-product attention mechanism and is capable of learning ...
Feb 26, 2020 · Our method, which we call Sparse Sinkhorn Attention, incorporates a meta sorting network that learns to re arrange and sort in- put sequences.
It includes a parameterized sorting network, using sinkhorn normalization to sample a permutation matrix that matches the most relevant buckets of keys to the ...
We propose Sparse Sinkhorn Attention, a new efficient and sparse method for learning to attend. Our method is based on differentiable sorting of internal ...
This work introduces a meta sorting network that learns to generate latent permutations over sequences and is able to compute quasi-global attention with ...
Apr 26, 2020 · "Sparse Sinkhorn Attention" uses the concept of differentiable sorting to construct an attention algorithm with memory complexity that scales ...
The Sinkhorn Transformer is a type of transformer that uses Sparse Sinkhorn Attention as a building block. This component is a plug-in replacement for dense ...
Our proposed method uses a differentiable algorithm to sort and re-arrange elements of the input sequence based on Sparse Sinkhorn Attention. Experimental ...
Abstract: A system and method for object classification based upon the fusion of a radar system and a natural imaging device using sparse code representation.