While inference cost is zero (final hierarchy is static), the training overhead may be significant for very large models.
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Dynamic nested hierarchies: self-evolving machine learning architectures for lifelong learning.
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While inference cost is zero (final hierarchy is static), the training overhead may be significant for very large models.