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Zhenyi Wang

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#machine learning Preprint Sep 2026

MemoryWalker: Stop Training Agents on Contexts They Never Saw

This work introduces two exact, gradient-equivalent corrections: LogitTree, a segmented K-forward traversal, and a packed 4D attention mask, and proposes SDCC (Self-Distillation for Conditioning Consistency), a single-backward-pass variational relaxation.

J. Zinco, Xun-Jie Zhu, Shen Huang et al. · 0 citations

Adaptive Bayesian Early-Exit Networks for Efficient Non-Transferable Learning

This paper proposes a novel and efficient NTL approach using a dynamic Early-Exit Network, named ENL-DEE, which leverages Bayesian theory and dynamic neural networks to address limitations in non-transferable learning.

Siyu Luan, Yan Li, Zhong Chen et al. · 0 citations

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