Zobrazeno 1 - 3
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pro vyhledávání: '"Lahoti, Aakash"'
A wide array of sequence models are built on a framework modeled after Transformers, comprising alternating sequence mixer and channel mixer layers. This paper studies a unifying matrix mixer view of sequence mixers that can be conceptualized as a li
Externí odkaz:
http://arxiv.org/abs/2407.09941
Vision tasks are characterized by the properties of locality and translation invariance. The superior performance of convolutional neural networks (CNNs) on these tasks is widely attributed to the inductive bias of locality and weight sharing baked i
Externí odkaz:
http://arxiv.org/abs/2403.15707
The problem of minimizing the sum of $n$ functions in $d$ dimensions is ubiquitous in machine learning and statistics. In many applications where the number of observations $n$ is large, it is necessary to use incremental or stochastic methods, as th
Externí odkaz:
http://arxiv.org/abs/2305.17283