Search Results for author: Zequan Liang

Found 1 papers, 0 papers with code

Brain-inspired Distributed Memorization Learning for Efficient Feature-free Unsupervised Domain Adaptation

no code implementations4 Feb 2024 Jianming Lv, Depin Liang, Zequan Liang, Yaobin Zhang, Sijun Xia

Compared with gradient based artificial neural networks, biological neural networks usually show a more powerful generalization ability to quickly adapt to unknown environments without using any gradient back-propagation procedure.

Memorization Unsupervised Domain Adaptation

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