Conformal Fusion Under Missing Modalities

arXiv:2608.07183 · cs.LG · Submitted 2026-08-07 · Read on arXiv

Alireza Moayedikia

cs.LG

Submitted: 2026-08-07

Updated: 2026-08-10

Code: https://github.com/amoayedikia/MCCF

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

Terminology

• Calibration — 91× in this paper · explained in 9 episodes
• Accuracy — 61× in this paper · explained in 1 episode
• Benchmark — 55× in this paper · explained in 2 episodes
• Modality-Conditioned Conformal Fusion — 26× in this paper
• Conformal Prediction — 24× in this paper · explained in 11 episodes
• Transformer — 24× in this paper · explained in 2 episodes
• Uncertainty Quantification — 13× in this paper · explained in 9 episodes
• Conformity — 11× in this paper · explained in 2 episodes
• Exchangeability — 10× in this paper · explained in 2 episodes
• Epistemic Uncertainty — 8× in this paper · explained in 12 episodes
• Multimodal Fusion — 7× in this paper · explained in 4 episodes
• Empirical Coverage — 6× in this paper · explained in 2 episodes
• Distribution Shift — 5× in this paper · explained in 12 episodes
• Harness — 5× in this paper · explained in 2 episodes
• Interpretability — 5× in this paper · explained in 15 episodes
• Multimodal Learning — 5× in this paper · explained in 2 episodes
• Representation Learning — 5× in this paper · explained in 3 episodes
• Robustness — 5× in this paper · explained in 6 episodes
• Transformers — 5× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• International Conference on Machine Learning — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Clustering — 3× in this paper · explained in 2 episodes
• Monotonicity — 3× in this paper · explained in 2 episodes
• Performance Gap — 3× in this paper · explained in 2 episodes
• Score Function — 3× in this paper · explained in 4 episodes
• Systematic Bias — 3× in this paper · explained in 3 episodes
• Augmentation — 2× in this paper · explained in 2 episodes
• Bayesian Inference — 2× in this paper · explained in 6 episodes
• Contrastive Alignment — 2× in this paper · explained in 2 episodes
• Contrastive Learning — 2× in this paper · explained in 9 episodes
• Covariate Shift — 2× in this paper · explained in 3 episodes
• Data Augmentation — 2× in this paper · explained in 10 episodes
• Hyperparameters — 2× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 2× in this paper
• Multimodal Bottleneck Transformer — 2× in this paper
• Trusted Multi-View Classification — 2× in this paper
• Absorb — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Calibration Failure — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Disentanglement — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Editor — 1× in this paper · explained in 2 episodes
• Evaluation Protocol — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 6 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hamming Distance — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 15 episodes
• Late Fusion — 1× in this paper · explained in 2 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
• Longitudinal Data — 1× in this paper · explained in 2 episodes
• Modality Gap — 1× in this paper · explained in 6 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Predictive Coding — 1× in this paper · explained in 3 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes
• Weight Decay — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 5 episodes

Sources

• Representation Learning with Contrastive Predictive Coding

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