SynCo: Learning Cross-Modal Synergy by Contrasting Interaction Residuals

arXiv:2609.32846 · cs.CV, cs.LG · Submitted 2026-09-26 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Benchmark — 29× in this paper · explained in 2 episodes
• Redundancy — 24× in this paper · explained in 2 episodes
• Contrastive Learning — 21× in this paper · explained in 5 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Transformer — 18× in this paper · explained in 2 episodes
• Linear Probing — 14× in this paper · explained in 2 episodes
• Ablation — 10× in this paper · explained in 1 episode
• Representation Learning — 10× in this paper · explained in 2 episodes
• Multimodal Learning — 6× in this paper · explained in 2 episodes
• Partial Information Decomposition — 6× in this paper
• Embeddings — 5× in this paper · explained in 2 episodes
• Linear probe — 5× in this paper · explained in 2 episodes
• Self-Supervised Learning — 4× in this paper · explained in 8 episodes
• Computational overhead — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Multimodal Dataset — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Late Fusion — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Pseudo-labels — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Gated Multimodal Units for Information Fusion
• A Cookbook of Self-Supervised Learning
• Orthogonalized Multimodal Contrastive Learning with Asymmetric Masking for Structured Representations
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• What to align in multimodal contrastive learning?
• MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
• Decoupled Weight Decay Regularization
• EarthScape: A Multimodal Dataset for Surficial Geologic Mapping and Earth Surface Analysis
• Representation Learning with Contrastive Predictive Coding
• InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
• Nonnegative Decomposition of Multivariate Information

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