most citedHierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.LG2025★ 2 cited

Hierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification

Ruobing Jiang, Mengzhe Liu, Haobing Liu +1

Hierarchical Multi-Label Classification (HMC) faces critical challenges in maintaining structural consistency and balancing loss weighting in Multi-Task Learning (MTL). In order to…

math.NT2023

Minimisation of 2-coverings of genus 2 Jacobians

Tom Fisher, Mengzhen Liu

An important problem in computational arithmetic geometry is to find changes of coordinates to simplify a system of polynomial equations with rational coefficients. This is tackled…