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Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
Due to their size, the capability of these networks has increased tremendously, but this has come at the cost of a significant increase in necessary compute.
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Tailoring Self-Attention for Graph via Rooted Subtrees
However, local attention limits the receptive field to one-hop neighbors.
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Mitigating the Effect of Incidental Correlations on Part-based Learning (Supplementary Material) Anonymous Author(s) Affiliation Address email Supplementary Material
The concept of "incidental correlations" is derived from the notion of incidental endogeneity [
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