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SG-Blend

topic1 events
papersSEP 12 04:00 UTC

SG-Blend Activation Function Combines Swish and GELU for Neural Networks

Researchers propose SG-Blend, an activation function that interpolates between an improved version of Swish and GELU rather than relying on either alone. The work addresses the fact that Swish was found through architecture search on vision tasks while GELU became standard in transformer language models, leaving neither optimal across domains. The paper is a revised cross-listing on arXiv.

activation-functions/research/transformers/arxiv