most citedA Unified Contrastive Loss for Self-Training

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

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1 paper

cs.LG2024

Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification

Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini

Learning an effective representation in multi-label text classification (MLTC) is a significant challenge in NLP. This challenge arises from the inherent complexity of the task, wh…