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paper MTA #479

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junxnone opened this issue Oct 11, 2024 · 0 comments

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junxnone commented Oct 11, 2024 •

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MTA

基于均值漂移算法
通过优化潜在的内点变量（inlierness variables）自动管理测试时增强的视图，直接在优化过程中集成对增强视图的评估，无需训练模型的参数或提示
通过不断迭代更新模式估计值，使得模式逐渐收敛到数据的密集区域，从而找到数据的一种代表性模式。
通过交替更新内点分数和模式，以实现对测试时增强的稳健多模态均值漂移，从而提高视觉 - 语言模型的测试时零样本泛化能力

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junxnone changed the title ~~x MTA~~ paper MTA

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