most citedSelf-attention Multi-view Representation Learning with Diversity-promoting Complementarity

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cs.LG2022

Multi-view Subspace Adaptive Learning via Autoencoder and Attention

Jian-wei Liu, Hao-jie Xie, Run-kun Lu +1

Multi-view learning can cover all features of data samples more comprehensively, so multi-view learning has attracted widespread attention. Traditional subspace clustering methods,…

cs.LG2022★ 1 cited

Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity

Jian-wei Liu, Xi-hao Ding, Run-kun Lu +1

Multi-view learning attempts to generate a model with a better performance by exploiting the consensus and/or complementarity among multi-view data. However, in terms of complement…