most citedENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling

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cs.LG2024

Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors

Zexi Li, Zhiqi Li, Jie Lin +5

Model fusion aims to integrate several deep neural network (DNN) models' knowledge into one by fusing parameters, and it has promising applications, such as improving the generaliz…