balanced-learning

Researchers developed an artificial synapse that uses light-color programming to achieve brain-like balanced learning, potentially advancing neuromorphic computing.

Introduces Balanced Multimodal Label Reshaping (BMLR), a method that addresses modality imbalance in multimodal learning by reshaping the label space to equalize mapping difficulty across modalities, improving performance across various architectures.