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cs.LG2024
Balancing Multimodal Training Through Game-Theoretic Regularization
Konstantinos Kontras, Thomas Strypsteen, Christos Chatzichristos +3
Multimodal learning holds promise for richer information extraction by capturing dependencies across data sources. Yet, current training methods often underperform due to modality…
cs.LG2024
Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks
Thomas Strypsteen, Alexander Bertrand
In this paper, we introduce Conditional Gumbel-Softmax as a method to perform end-to-end learning of the optimal feature subset for a given task and deep neural network (DNN) model…