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Found 2 papers, 1 papers with code
Multimodal Transformer for Parallel Concatenated Variational Autoencoders
The multimodal transformer is designed using multiple compression matrices, and it serves as encoders for Parallel Concatenated Variational AutoEncoders (PC-VAE).
Patch Learning
There have been different strategies to improve the performance of a machine learning model, e. g., increasing the depth, width, and/or nonlinearity of the model, and using ensemble learning to aggregate multiple base/weak learners in parallel or in series.
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