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Zhixuan Zhang

2 accepted papers

2025

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods

AAAI 2025technical

Given the ubiquity of multi-task in practical systems, Multi-Task Learning (MTL) has found widespread application across diverse domains. In real-world scenarios, these tasks often have different priorities. For instance, In web search, relevance is often prioritized over other metrics, such as clic…

Cited by 0SourcePDFScholar
2020

Neuron-level Structured Pruning using Polarization Regularizer

NeurIPS 2020poster

Neuron-level structured pruning is a very effective technique to reduce the computation of neural networks without compromising prediction accuracy. In previous works, structured pruning is usually achieved by imposing L1 regularization on the scaling factors of neurons, and pruning the neurons whos…