Maziar Moradi Fard

most citedLearning Section Weights for Multi-Label Document Classification

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CL2023★ 1 cited

Learning Section Weights for Multi-Label Document Classification

Maziar Moradi Fard, Paula Sorrolla Bayod, Kiomars Motarjem +3

Multi-label document classification is a traditional task in NLP. Compared to single-label classification, each document can be assigned multiple classes. This problem is crucially…

cs.LG2018

Deep $k$ -Means: Jointly clustering with $k$ -Means and learning representations

Maziar Moradi Fard, Thibaut Thonet, Eric Gaussier

We study in this paper the problem of jointly clustering and learning representations. As several previous studies have shown, learning representations that are both faithful to th…

Learning Section Weights for Multi-Label Document Classification

Deep k-Means: Jointly clustering with k-Means and learning representations

Deep $k$ -Means: Jointly clustering with $k$ -Means and learning representations