On the Value of Cross-Modal Misalignment in Multimodal Representation Learning

NeurIPSSpotlight2025

Authors
Yichao Cai, Yuhang Liu, Erdun Gao, Tianjiao Jiang, Zhen Zhang, Anton van den Hengel, Javen Qinfeng Shi
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Multimodal representation learning, exemplified by multimodal contrastive learning (MMCL) using image-text pairs, aims to learn powerful representations by aligning cues across modalities…

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Topics

representation learning contrastive multimodal alignment

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