Divide and Conquer: Mixture-of-Bottleneck Experts in Informative Ordinal Space for Video-based Multimodal Sentiment Analysis

arXiv:2609.18470 · cs.MM, cs.CL · Submitted 2026-09-16 · Read on arXiv

cs.MM, cs.CL

Submitted: 2026-09-16

Updated: 2026-09-16

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Multimodal Sentiment Analysis — 20× in this paper
• Information Bottleneck — 18× in this paper
• Decoupling — 9× in this paper · explained in 2 episodes
• Multimodal Fusion — 8× in this paper · explained in 3 episodes
• Multimodal Learning — 8× in this paper · explained in 2 episodes
• Interpretability — 6× in this paper · explained in 15 episodes
• Multimodal Bottleneck Routing Fusion — 6× in this paper
• Affective Computing — 5× in this paper · explained in 1 episode
• Redundancy — 5× in this paper · explained in 2 episodes
• Contrastive Learning — 4× in this paper · explained in 5 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Adaptability — 3× in this paper · explained in 1 episode
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Mixture of Experts — 2× in this paper · explained in 2 episodes
• Mixture-of-Experts (MoE) — 2× in this paper · explained in 7 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Aleatoric Uncertainty — 1× in this paper · explained in 4 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Flow Matching Model — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• End-to-end Semantic-centric Video-based Multimodal Affective Computing
• Gaussian Error Linear Units (GELUs)
• MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

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