ProPML: A Novel Approach to Partial Multi-label Learning

ProPML introduces a probabilistic approach to Partial Multi-label Learning, addressing issues with existing methods by extending binary cross entropy. The method outperforms other approaches, especially in scenarios with high noise levels.