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Kangrui Ren

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Conference Open access Sep 2026

Mutual Information Guided Reinforcement Learning for Ambiguous Label Disambiguation

This work proposes a novel mutual information guided reinforcement learning framework for partial label disambiguation (MR-PLL), which is formulated as a sequential Markov decision process, where an agent dynamically discriminates whether to retain, modify, or abstain from correcting ambiguous labels.

Jin-Fu Fan, Jiangnan Li, Xiaohui Zhong et al. · 0 citations
Aug 2026

MD2PLL: a meta-learning framework for robust disambiguation in partial-label visual recognition

A meta-learning-based dual-model disambiguation for partial-label learning (MD2PLL), a robust framework for candidate-label disambiguation under ambiguous annotations, is proposed and achieves competitive performance on Yahoo! News and Soccer Player.

Xiaohui Zhong, Xiaowen Yan, Jiayin Song et al. · 0 citations

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