本文引入了Diversity-Aware Meta Visual Prompting (DAM-VP) 方法,该方法通过以无监督和自适应方式提取特定的原型,为每个子集分配特定的prompts,根据调整损失进行优化,然后通过在不同数据集中学习到的元提示进行初始化,从而适应不同的下游数据集。 3.1 Diversity-adaptive dataset partition Diversity-adaptive dataset parti...
4C). Visual inspection of examples of neurons in distinct clusters confirmed their difference in appearance (Fig. 4B). Each cluster exhibited intra-cluster diversity, prompting a detailed analysis of subcellular structures as discussed in the subsequent sections. The soma-distribution of the neurons ...
And yet all too often, even when we do engage in a meta-decision making, we make a crucial misjudgment by imagining that stopping requires less effort than starting. When we are talking about things that we need to stop doing, we need to recognize that this will also involve thinking time...
The details for MetaPrompt are shown in Appendix J. In addition, we use ChatGPT as a zero-shot predictor for comparison. The results are in Table 7. Besides the test performance, we include the cost of querying the ChatGPT per 1000 data in the table. From the results, we can draw ...