Tag: zero-shot transfer

A new self-supervised graph neural network framework, GraphContrast-IoT, improves anomaly detection in industrial IoT sensor networks by combining physical topology ...

Researchers developed a machine learning framework using historical geolocated social media traces to detect and classify routine cross-border commuting flows ...

A padding-free reinforcement learning framework coordinates autonomous vehicles across single and multi-junction road networks without central infrastructure, cutting delays while ...

An improved YOLOv8-based detector reaches 79.8% mAP50 on a synthetic forest wildfire benchmark with 2.52 million parameters while running at ...

A class-adaptive ensemble of three neural networks classifies brain tumors in MRI scans with 99.39 percent benchmark accuracy, validated by ...

Researchers in Zhengzhou have built a graph neural network that encodes the measured noise of superconducting quantum processors to correct ...

A new benchmark called MATE-Hard shows that cooperative multi-agent reinforcement learning policies lose roughly half their advantage over random behavior ...