Supervised Graph Contrastive Learning for Few-Shot Node Classification

Neural Computing

Supervised Graph Contrastive Learning for Few-Shot Node Classification

Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference

Masked-Based Learning Method for Neural Network Multiple Task Adaption

Fracture Pattern Prediction with Random Microstructure using Deep Neural Network

Static and dynamic precision adaptation for hardware learning and classification

Flexible and Efficient XNOR Circuit Architecture for Neural Network Based Deep Learning

Binary Neural Network for Improved Accuracy and Defense Against Bit-Flip Attacks

Connection Topology Optimization of Photovoltaic Arrays Using Neural Networks

Fault Classification in Photovoltaic Arrays Using Dropout and Pruned Neural Networks

Hardware-Noise-Aware Training for Improved Accuracy of In-Memory-Computing-Based Deep Neural Networks

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