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Zhuokai Zhao

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#machine learning Preprint Oct 2026

SplitJEPA: Learning Invariant and Variant Latent Worlds without Reconstruction

Understanding a dynamical world calls for more than a latent state that summarizes its observations: the state should also be organized into the factors that stay shared across related observations and the factors that vary between them. For example, a robot pushing a cube to a goal should take the same action when the...

Rui-Jin Hua, Zichuan Liu, Zhuokai Zhao et al. · 0 citations
Jul 2026

Rethinking Transfer in Continual Learning: A Replay-Based Realisation

TSR consistently improves forward transfer while maintaining stability, outperforming existing replay baselines across heterogeneous and homogeneous task streams and argues for treating transfer as a first-class objective of continual learning, to be understood before it is engineered.

Yang Meng, Zhenyang Liu, Zhuokai Zhao et al. · 0 citations

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