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News/Optimization Encoders: Rethinking Second-Order Meta-Learning for Neural Fields
arxiv
PublishedOctober 7, 2026 at 4:00 AM

Optimization Encoders: Rethinking Second-Order Meta-Learning for Neural Fields

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arXiv:2610.08075v1 Announce Type: new Abstract: Conditional neural fields represent signals continuously, but their effectiveness depends on how the conditional latent representations are inferred from observed data. In meta-learning, this encoding occurs through gradient updates induced by the deco

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