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

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

πŸ”— 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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[-] A_A@lemmy.world 2 points 1 year ago
this post was submitted on 08 Oct 2023
18 points (95.0% liked)

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