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Found 4 papers, 0 papers with code
Comparison of self-supervised in-domain and supervised out-domain transfer learning for bird species recognition
Transferring the weights of a pre-trained model to assist another task has become a crucial part of modern deep learning, particularly in data-scarce scenarios.
EEG decoding with conditional identification information
Decoding EEG signals is crucial for unraveling human brain and advancing brain-computer interfaces.
Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate
Recurrent Neural Networks (RNNs) are renowned for their adeptness in modeling temporal dependencies, a trait that has driven their widespread adoption for sequential data processing.
Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition
Spiking neural networks (SNN) are a promising research avenue for building accurate and efficient automatic speech recognition systems.
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