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The distillation loss often uses KL divergence to measure the difference between the student distribution and the teacher distribution.
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10/21/2026
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UnverifiedCompared to the original baseline model, the student model after joint distillation and quantization achieves a 69% reduction in size.63% similarUnverifiedWhen the teacher-generated support set remains exactly the same, simply replacing hard replay with soft targets can further reduce the final average loss by 0.055.63% similarUnverifiedStudent's t-distribution is a heavy-tailed distribution whose tails decay more slowly than the Gaussian distribution, making it more robust to outliers.63% similarUnverifiedThe new method corrects estimation error through studentization, so that under the null hypothesis the test statistic is asymptotically distributed as a standard normal.62% similarUnverified哈蒂的元分析显示教育干预的平均效应量约为0.4 SD，其中反馈为0.73 SD、直接教学法0.60 SD、教师-学生关系0.72 SD、课堂规模缩减0.21 SD、开放式学习空间0.01 SD61% similar
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