00:00:37 给数据做“微整形”：如何把猫的“样子”变成狗？

00:05:01 从一堆曲线里，看出“命”来

00:09:53 怎么给AI模型打一针“思想疫苗”？

00:13:53 AI的“少年时代”：为什么有些超能力，学会了又忘了？

00:18:30 AI界的“量体裁衣”：如何给数据穿上最合身的“衣服”？

本期介绍的几篇论文：

[LG] Flowing Datasets with Wasserstein over Wasserstein Gradient Flows  

[ENSAE & Universite Paris-Saclay]  

https://openreview.net/forum?id=I1OHPb4zWo  

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[LG] Learning with Expected Signatures: Theory and Applications  

[Imperial College London]  

https://openreview.net/forum?id=yDTwamN4LQ  

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[LG] Model Immunization from a Condition Number Perspective  

[Purdue University]  

https://openreview.net/forum?id=uitj69FqD5  

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[LG] Strategy Coopetition Explains the Emergence and Transience of In-Context Learning  

[University College London & Anthropic AI & University of Oxford]  

https://openreview.net/forum?id=esBoQFmD7v  

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[LG] AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization  

[Tsinghua University]  

https://openreview.net/forum?id=fCPB0qRJT2