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[R] Unraveling the Mysteries: Why is AdamW Often Superior to Adam+L2 in Practice? (self.machinelearning)

submitted 1 year ago by LoveOxygenProducers to c/machinelearning

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Hello, ML enthusiasts! 🚀🤖 We analyzed rotational equilibria in our latest work, ROTATIONAL EQUILIBRIUM: HOW WEIGHT DECAY BALANCES LEARNING ACROSS NEURAL NETWORKS

💡 Our Findings: Balanced average rotational updates (effective learning rate) across all network components may play a key role in the effectiveness of AdamW.

🔗 ROTATIONAL EQUILIBRIUM: HOW WEIGHT DECAY BALANCES LEARNING ACROSS NEURAL NETWORKS

Looking forward to hearing your thoughts! Let’s discuss more about this fascinating topic together!

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[–] [email protected] 2 points 1 year ago

The human brain isn't a blank slate when it comes into existence. There are already structures that are designed to do certain things. These structures come "pre trained" and a lot of the learning humans do is more akin to the fine tuning that we do for foundation models.