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MERP: A Latent-Bottleneck Framework for Robust Multi-Modal Multi-Label Emotion Recognition
Multimodal multi-label emotion recognition is important for affect-aware systems, but models trained with complete text, visual, and acoustic streams often degrade sharply when some streams are unavailable at deployment. We address this train-test gap by learning a compact representation that preser
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