Confidence Falls Short: Asymmetric Certainty Gains from Optimization Hinder Multimodal Classification

arXiv:2609.28165 · cs.LG · Submitted 2026-09-23 · Read on arXiv

cs.LG

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Multimodal Learning — 38× in this paper · explained in 2 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• Sparsity — 19× in this paper · explained in 4 episodes
• Decoupling — 13× in this paper · explained in 2 episodes
• Cosine Similarity — 8× in this paper · explained in 3 episodes
• Multimodal Fusion — 7× in this paper · explained in 3 episodes
• Regularization — 7× in this paper · explained in 3 episodes
• Actor — 3× in this paper · explained in 3 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Calibration — 3× in this paper · explained in 7 episodes
• Late Fusion — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Gradient Flow — 2× in this paper · explained in 2 episodes
• Optical Flow — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Expected Calibration Error — 1× in this paper
• Generalization — 1× in this paper · explained in 13 episodes
• Modality Gap — 1× in this paper · explained in 4 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

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