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Konstantinos Kontras

2 accepted papers

2026

THE MORE, THE MERRIER: CONTRASTIVE FUSION FOR HIGHER-ORDER MULTIMODAL ALIGNMENT

CVPR 2026

Learning joint representations across multiple modalities remains a central challenge in multimodal machine learning. Prevailing approaches predominantly operate in pairwise settings, aligning two modalities at a time. While some recent methods aim to capture higher-order interactions among multiple

Cited by 0SourcecodeScholar
2025

Balancing Multimodal Training Through Game-Theoretic Regularization

NeurIPS 2025spotlight

Multimodal learning holds the promise for richer information extraction by capturing dependencies across data sources. Yet, current training methods often underperform due to modality competition, a phenomenon where modalities contend for training resources, leaving some underoptimized. This raises…

Cited by 0SourcecodeScholar