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Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
Deep neural networks are susceptible to catastrophic forgetting when trained on sequential tasks.
Multi-View Class Incremental Learning
Multi-view learning (MVL) has gained great success in integrating information from multiple perspectives of a dataset to improve downstream task performance.
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