Imbalanced multimodal learning that prioritizes the performance-dominant modality via unimodal ranking and asymmetric gradient modulation outperforms balanced approaches.
MSH-Net: Modality- shared hallucination with joint adaptation distillation for remote sensing image classification using missing modalities
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TRUST-TAEA extends two-archive evolutionary algorithms with trustworthiness-guided coordination and variable-grouping for improved convergence, diversity, and stability on LSMOPs with 500-5000 variables.
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PDMP: Rethinking Balanced Multimodal Learning via Performance-Dominant Modality Prioritization
Imbalanced multimodal learning that prioritizes the performance-dominant modality via unimodal ranking and asymmetric gradient modulation outperforms balanced approaches.
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TRUST-TAEA: A trustworthiness-guided two-archive evolutionary algorithm with variable-grouping sparse search for large-scale multi-objective optimization
TRUST-TAEA extends two-archive evolutionary algorithms with trustworthiness-guided coordination and variable-grouping for improved convergence, diversity, and stability on LSMOPs with 500-5000 variables.