Asymmetric Representation Learning reweights each modality's gradient by the inverse of its prediction variance, improving multimodal accuracy on CREMA-D, Kinetics-Sounds, AVE, MOSI, and UCF101.
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Improving Multimodal Learning via Imbalanced Learning
Asymmetric Representation Learning reweights each modality's gradient by the inverse of its prediction variance, improving multimodal accuracy on CREMA-D, Kinetics-Sounds, AVE, MOSI, and UCF101.