recurrent neural network

TRANSFORMING MULTIDIMENSIONAL DATA INTO IMAGES TO OVERCOME THE CURSE OF DIMENSIONALITY

LEARNABLE SNAKE R-CNN FOR INSTANCE-LEVEL BIOMEDICAL IMAGE SEGMENTATION

SRU++: PIONEERING FAST RECURRENCE WITH ATTENTION FOR SPEECH RECOGNITION

Memory in Echo State Networks and the Controllability Matrix rank

MULTI-MODAL RECURRENT FUSION FOR INDOOR LOCALIZATION

ENHANCE RNNLMS WITH HIERARCHICAL MULTI-TASK LEARNING FOR ASR

QUANTUM LONG SHORT-TERM MEMORY

DYSFLUENCY CLASSIFICATION IN STUTTERED SPEECH USING DEEP LEARNING FOR REAL-TIME APPLICATIONS

MODERNN: TOWARDS FINE-GRAINED MOTION DETAILS FOR SPATIOTEMPORAL PREDICTIVE LEARNING