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April 19, 2024
Diffusion models are a powerful generative framework, but come with expensive inference. Existing acceleration methods often compromise image quality or...
March 17, 2023
Deep neural networks have been adopted in multi-label classification for their excellent performance, however, existing methods fail to comprehensively utilize the high-order correlations between instances and the high-order correlations between labels, and these methods are difficult to deal with label noise effectively. We propose a novel end-to-end deep framework named Robust Fused Hypergraph Neural Networks for Multi-Label Classification (RFHNN), which can effectively utilize the two kinds o...