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Found 3 papers, 1 papers with code
Deep User Identification Model with Multiple Biometrics
Most research has only focused on single modality or a single task, while the combination of input modality or tasks is yet to be investigated.
Effective Network Compression Using Simulation-Guided Iterative Pruning
Existing high-performance deep learning models require very intensive computing.
End-to-end Multimodal Emotion and Gender Recognition with Dynamic Joint Loss Weights
In our experiments, emotion and gender recognition with the proposed method yielded a lower joint loss, which is computed as the negative log-likelihood, than using static weights for joint loss.
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