迈向理解阈下学习：隐藏偏见何时以及如何迁移
本文探讨了深度学习模型中"阈下学习"现象，即模型在训练过程中从无意识层面吸收数据中的隐藏偏见。研究揭示了这些隐性偏见在模型间迁移的条件和机制，为理解机器学习中的偏见传播提供了新视角，并有助于设计更公平、更可控的AI系统。
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