Reliability-aware Cross-sample Enhancement for Robust Multimodal Sentiment Analysis

arXiv:2609.30470 · cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Multimodal Sentiment Analysis — 32× in this paper
• Robustness — 16× in this paper · explained in 5 episodes
• Regularization — 14× in this paper · explained in 3 episodes
• Transformer — 14× in this paper · explained in 2 episodes
• Multimodal Learning — 13× in this paper · explained in 2 episodes
• Distillation — 10× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Latent Representation — 8× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Adaptive Variational Information Bottleneck — 7× in this paper
• Aggregation — 7× in this paper · explained in 1 episode
• Generalization — 7× in this paper · explained in 13 episodes
• Multimodal Fusion — 7× in this paper · explained in 3 episodes
• Representation Learning — 7× in this paper · explained in 2 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Consistency — 6× in this paper · explained in 3 episodes
• Feature Extraction — 6× in this paper · explained in 2 episodes
• Optimal Transport — 5× in this paper · explained in 5 episodes
• Ablation study — 4× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Multimodal Information Bottleneck — 4× in this paper
• Redundancy — 4× in this paper · explained in 2 episodes
• Unified Framework — 4× in this paper · explained in 5 episodes
• Attention Mechanism — 3× in this paper · explained in 3 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Knowledge Distillation — 3× in this paper · explained in 11 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Adaptive Gradient Modulation — 2× in this paper
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Cross-Attention Mechanism — 2× in this paper · explained in 2 episodes
• Distribution Matching — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Information-Theoretic Hierarchical Perception — 2× in this paper
• Interpretability — 2× in this paper · explained in 15 episodes
• KL Regularization — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Multimodal Inputs — 2× in this paper · explained in 2 episodes
• Affective Computing — 1× in this paper · explained in 1 episode
• Aleatoric Uncertainty — 1× in this paper · explained in 5 episodes
• Bi-Bimodal Fusion Network — 1× in this paper
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decoupled Hierarchical Multimodal Distillation — 1× in this paper
• Decoupled Multimodal Distillation — 1× in this paper
• Diagnostic Tools — 1× in this paper · explained in 2 episodes
• Dynamic Gating Mechanism — 1× in this paper · explained in 2 episodes
• Feature-Disentangled Multimodal Emotion Recognition — 1× in this paper
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Hyper-Modality Enhancement — 1× in this paper
• Mean Absolute Error — 1× in this paper
• Modality Optimization and Dynamic Primary Modality Selection — 1× in this paper
• Multimodal Adaptation Gate — 1× in this paper
• Multimodal Interaction Learning — 1× in this paper
• Multimodal Ordinal Affective Computing — 1× in this paper
• Optimal Multimodal Information Bottleneck — 1× in this paper
• Probabilistic Multimodal Learning — 1× in this paper
• Quality-aware Multimodal Fusion — 1× in this paper
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Reliability-aware Crosssample Enhancement — 1× in this paper
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

• DeBERTa: Decoding-enhanced BERT with Disentangled Attention
• Towards Minimal Causal Representations for Human Multimodal Language Understanding
• Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis
• Decoupled Weight Decay Regularization
• CaReFlow: Cyclic Adaptive Rectified Flow for Multimodal Fusion
• The information bottleneck method

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