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New structural interpretation of GELU and other activation functions proposed

By PulseAugur Editorial · [2 sources] ·

Researchers have proposed a new structural interpretation of activation functions like GELU, ReLU, SiLU/Swish, and hard swish. This work views GELU not just as a stochastic gate output, but through a Gaussian complementary first-order loss function. This perspective generalizes to a family of threshold-transmission activations, offering a new way to understand their behavior. Experiments on vision and language models suggest that calibrated or learned uniform-threshold gates can be competitive with or outperform existing activations. AI

IMPACT This research offers a novel theoretical framework for understanding and potentially improving activation functions, which are fundamental components of neural networks.

RANK_REASON The cluster contains an academic paper detailing a new theoretical interpretation of existing machine learning activation functions.

Read on arXiv stat.ML →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New structural interpretation of GELU and other activation functions proposed

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The cluster contains an academic paper detailing a new theoretical interpretation of existing machine learning activation functions.
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COVERAGE [2]

  1. arXiv stat.ML TIER_1 English(EN) · Roberto Rossi ·

    A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function

    arXiv:2607.03664v1 Announce Type: cross Abstract: The Gaussian Error Linear Unit is usually motivated as the expected output of an input-dependent stochastic Bernoulli gate. This work gives a complementary interpretation based on the Gaussian complementary first-order loss functi…

  2. arXiv stat.ML TIER_1 English(EN) · Roberto Rossi ·

    A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function

    The Gaussian Error Linear Unit is usually motivated as the expected output of an input-dependent stochastic Bernoulli gate. This work gives a complementary interpretation based on the Gaussian complementary first-order loss function: GELU is the signal-transmission term of the ex…

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