相持不下 发表于 2025-3-21 17:17:06
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Flora Tassone,Paul J. Hagermanresearchers have made persistent efforts to design powerful models. For example, Spatial-Temporal Graph Neural Networks (STGNNs) have become increasingly popular MTS prediction methods due to their state-of-the-art performance. However, we found there exists much unfairness in the comparison of theNICE 发表于 2025-3-22 15:49:00
David L. Nelson,Yanghong GuCs) of LeNet-5 to 4.11G MACs of ResNet-50, the computational cost of image classification has increased by 10,000 times over two decades. On the other hand, it has inevitably brought about an increase in energy consumption, and benchmarking the energy efficiency of the modern AI workloads is also esamphibian 发表于 2025-3-22 18:02:35
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