AdaKerNet: Neural Kernel Decoding for Task-Adaptive Prediction with Multimodal Large Models
AdaKerNet is introduced, a novel learnable task-adaptive neural kernel decoder that operates solely on its (frozen) rich representations obtained from the diverse available modalities and established as an effective approach for prediction from frozen multimodal representations in the scarce label regime.