English(EN) Position: Unlabeled IS NOT Equal to No Human Supervision in Visual Learning

研究人员称，视觉学习的“无监督”方法缺乏清晰度

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-04 04:00

一篇新发表在arXiv上的立场论文认为，视觉学习中的“无监督学习”一词具有误导性。作者认为，没有显式标签并不等同于缺乏人类监督，因为数据策展和训练目标本身就嵌入了人类先验。他们提倡研究界提高概念清晰度，敦促作者明确披露其学习流程中嵌入的假设和先验，以改善学术交流和方法比较。 AI

影响澄清了视觉学习中的术语，可能导致更严谨的研究和更公平的方法比较。

排序理由该集群包含一篇讨论机器学习子领域概念性问题的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Dong Lao · 2026-09-04 04:00

Position: 未标记不等于视觉学习中无人监督

arXiv:2609.03077v1 Announce Type: cross Abstract: This position paper argues that the absence of labels does not imply the absence of human supervision in visual learning, and urges the research community to identify sources of supervision more explicitly. Many recent methods in …