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How big data can help small data?(71页).pdf

上传人: 云闲 编号:87440 2021-01-01 71页 19.54MB

1、How big data can help small data?Fei ShaDepartment of Computer ScienceUniversity of Southern CaliforniaLos Angeles,CAWhere does this“small”data come from?Examples from yesterdays talksL3 Edge case study“常常会遇到偶发的大雾,大雪,”Quan Finance“左尾”“右尾”没有足够多的数据Education planning is complex decision-makingTime scal

2、es Short-term Which school?Extracurricular activities:sports,arts,etc?Mid-term Which university?Which speciality?Long-term What kind of career path?What else makes this hard?Individual differences Genetically Environmentally Harsh constraints One-shot game Costly to recover from mistakes Our goal:pe

3、rsonalized learning and education Bill&Melinda Gates Foundation on Personalized LearningCNN on Personalized Learning,2016Can machine learning/AI achieve that?Sadly,not 100%yet Individualized models need individual-specific data The amount of data is fundamentally limited,hence being Small.Most moder

4、n learning algorithms require Big Data about the individual.Can you build a model of me?Can machine learning/AI achieve that?Sadly,not 100%yet Individualized models need individual-specific data The amount of data is fundamentally limited,hence being Small.Most modern learning algorithms require Big

5、 Data about the individual.Can you build a model of me?I will need more data from you.Can machine learning/AI achieve that?Sadly,not 100%yet Individualized models need individual-specific data The amount of data is fundamentally limited,hence being Small.Most modern learning algorithms require Big D

6、ata about the individual.Can you build a model of me?I will need more data from you.Or I can give you the model of those3 vignettes of how Big Data can help Small Data3 Learning settings Multi-task learning Domain adaptation Zero-shot learning Primary application focus Computer vision3 vignettes of

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本文探讨了大数据如何帮助小数据,通过三个示例:多任务学习、域适应和零样本学习,说明了大数据在机器学习中的作用。多任务学习通过共享知识提高了泛化性能;域适应解决了训练数据与测试数据分布不匹配的问题;零样本学习则通过利用先验知识,使机器能够在没有足够 labeled 数据的情况下进行学习。文章还提到了在 ImageNet 数据集上的实验结果,展示了作者的方法取得了较好的效果。
"大数据如何助力小数据?" "如何通过零样本学习识别未知动物?" "如何利用迁移学习解决车辆行人避障问题?"
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