Emerson, a global technology, software, and engineering company, pioneers factory automation for a safer, smarter, and sustainable world. Our diverse portfolio ...
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Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...
Abstract: Convolution operations are extensively used for deep learning tasks and especially in Convolutional Neural Networks (CNNs) for image processing, computer vision, and other machine learning ...
Real-time generation demo: our D2F model (left) uses parallel block decoding, while the AR baseline (right) generates tokens sequentially. This visualizes the source of D2F's significant throughput ...
We introduce a novel generative model: Discrete Distribution Networks (DDN). DDN employs a simple yet unique approach to model the target distribution, distinctly different from mainstream generative ...