Mind the Gap: A Framework for Assessing Pitfalls in Multimodal Active Learning

ArXi:2603.29677v1 Announce Type: cross Multimodal learning enables neural networks to integrate information from heterogeneous sources, but active learning in this setting faces distinct challenges. These include missing modalities, differences in modality difficulty, and varying interaction structures. These are issues absent in the unimodal case. While the behavior of active learning strategies in unimodal settings is well characterized, their behavior under such multimodal conditions remains poorly understood. We.