Abstract: In Siamese-network-based self-supervised learning (SSL), multilevel supervision (MLS) is a natural extension to enforce intermediate representations’ consistency against data augmentations.
This scheme has achieved the highest returns in its Multi-Cap category over 5Y. This scheme has maintained a relatively low level of volatility within its Multi-Cap category over the past 3 years.
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