linear attention
PulseAugur coverage of linear attention — every cluster mentioning linear attention across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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OSDN improves linear attention with online preconditioning
Researchers have introduced OSDN, a novel method that enhances linear attention mechanisms by incorporating provable online preconditioning. This technique augments the Delta Rule with a diagonal preconditioner, which i…
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Recurrent models fail at state tracking due to error dynamics
Researchers have introduced a new perspective on state tracking within recurrent neural network architectures, emphasizing error control dynamics over theoretical expressive capacity. They demonstrate that affine recurr…
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StateX framework boosts RNN recall by expanding model states post-training
Researchers have developed StateX, a post-training framework designed to improve the recall capabilities of recurrent neural networks (RNNs). This method efficiently expands the states of pre-trained RNNs, such as linea…