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Found 7 papers, 1 papers with code
Joint Relay Selection and Beam Management Based on Deep Reinforcement Learning for Millimeter Wave Vehicular Communication
In this regard, we formulate a sequential decision problem to jointly optimize relay selection and beam management.
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning
However, it often results in selecting a sub-optimal configuration as training with the high-performing configuration typically converges slowly in an early phase.
Cross-Domain Style Mixing for Face Cartoonization
Cartoon domain has recently gained increasing popularity.
Handling Out-Of-Vocabulary Problem in Hangeul Word Embeddings
Word embedding is considered an essential factor in improving the performance of various Natural Language Processing (NLP) models.
Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles
Moreover, we propose a vehicle controller based on control parameters enabling integrated lateral and longitudinal control via preference-aware maneuvering of autonomous vehicles.
TMA: Tera-MACs/W Neural Hardware Inference Accelerator with a Multiplier-less Massive Parallel Processor
The key figure of merit in hardware inference accelerators is the number of multiply-and-accumulation operations per watt (MACs/W), where, the state-of-the-arts MACs/W remains several hundreds Giga-MACs/W.
Distributed, Parallel, and Cluster Computing Hardware Architecture Signal Processing
Deep ensemble network with explicit complementary model for accuracy-balanced classification
The average accuracy is one of major evaluation metrics for classification systems, while the accuracy deviation is another important performance metric used to evaluate various deep neural networks.
