Sample-Efficiency of Kolmogorov-Arnold Networks

Name: Sample-Efficiency of Kolmogorov-Arnold Networks
Uploaded: 2026-10-16T00:06:41.214037+00:00
Duration: 287 s
Description: Kolmogorov-Arnold Networks (KANs) are a new neural network type that replaces fixed weights with learnable functions, aiming for better sample efficiency. Experiments show KANs achieve similar performance to traditional models using 40% fewer samples. The biggest gains happen early in training, making them useful for expensive data collection tasks.

Kolmogorov-Arnold Networks (KANs) are a new neural network type that replaces fixed weights with learnable functions, aiming for better sample efficiency. Experiments show KANs achieve similar performance to traditional models using 40% fewer samples. The biggest gains happen early in training, making them useful for expensive data collection tasks.

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