Papers by Robert-Adrian Popovici

1 papers
MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification (2025.emnlp-main)

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Challenge: **MultiMatch** is a semi-supervised learning (SSL) algorithm that combines co-training and consistency regularization with pseudo-labeling.
Approach: They propose a semi-supervised learning algorithm that integrates co-training and consistency regularization with pseudo-labeling.
Outcome: The proposed algorithm outperforms the second-best approach on 8 out of 10 setups from 5 natural language processing datasets and outperformed the second best by 3.26%.

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