Unverified50% confidenceBenchmarkExact time
The handwritten MLP model can achieve approximately 98.5% accuracy on the full MNIST training set.
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9/26/2026
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UnverifiedOn the MNIST dataset, even a simple linear classifier can achieve approximately 92% accuracy.75% similarUnverifiedIn the same reproduction experiment, ResNet-20 achieved a test accuracy of 90.4% and ResNet-56 achieved a test accuracy of 91.7%, with training accuracies of 97.4% and 99.0% respectively.73% similarUnverifiedThe per-step accuracy of current top-tier models is approximately between 90% and 95%.70% similarUnverifiedAfter 15 training epochs on the demonstration dataset, the text classification model achieves an accuracy of 99%, with a total of 110,000 model parameters (16,000 for Attention, 33,000 for FFN, and the remainder for Embedding)70% similarUnverified研究团队在MNIST和Fashion-MNIST数据集上训练扩散模型验证C2正则性,Hessian在MNIST上达到300、Fashion-MNIST上达到1000,乘上归一化因子后收敛为约1到2的常数69% similar
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