✨Nested Learning: The Illusion of Deep Learning Architectures
📝 Summary:
Nested Learning NL models ML as nested optimization problems. It enables expressive algorithms for higher-order learning and continual adaptation, introducing optimizers, self-modifying models, and continuum memory systems.
🔹 Publication Date: Published on Dec 31, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.24695
• PDF: https://arxiv.org/pdf/2512.24695
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For more data science resources:
✓ https://t.me/DataScienceT
#NestedLearning #MachineLearning #DeepLearning #Optimization #AI
📝 Summary:
Nested Learning NL models ML as nested optimization problems. It enables expressive algorithms for higher-order learning and continual adaptation, introducing optimizers, self-modifying models, and continuum memory systems.
🔹 Publication Date: Published on Dec 31, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.24695
• PDF: https://arxiv.org/pdf/2512.24695
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#NestedLearning #MachineLearning #DeepLearning #Optimization #AI