SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Larger  $K$  produces smoother pseudo labels. To investigate its impact, we perform a parameter sensitivity analysis in Table 5. We observe that a suitable  $K$  is between 0 and 1. Too large  $K$  will produce over-smoothed pseudo labels and leads to performance degradation. In this paper, we choose  $K = 1$  as the default parameter for the Scale( $\cdot$ ) normalization function.
Table 5: Parameter sensitivity analysis on the scaling factor.
K	CIFAR-10 (q = 0.3, η = 0.3)	CIFAR-100 (q = 0.05, η = 0.3)
0.1	94.87±0.08	75.29±0.44
0.2	94.72±0.18	75.60±0.41
0.5	94.69±0.15	75.47±0.03
1.0	94.36±0.03	75.67±0.17
1.5	93.04±0.65	72.82±0.23