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 ---[LG] Learning with Expected Signatures: Theory and Applications [Imperial College London] https://openreview.net/forum?id=yDTwamN4LQ ---[LG] Model Immunization from a Condition Number Perspective [Purdue University] https://openreview.net/forum?id=uitj69FqD5 ---[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 ---[LG] AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization [Tsinghua University] https://openreview.net/forum?id=fCPB0qRJT2
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