Meta-Learning Method 1)T-Learner 2)S-Learner 3)X-Learner 总结 参考 Uplift Model 概念 顾名思义,uplift 可以理解为增益或者增量,uplift model 即为增量模型。其通常用于评估某种干预对个体的状态/行为的因果效应,也就是 Individual Treatment Effect,即 ITE。 假设在某个 framework 下有 N 个个体,个体 i ...
在因果推断笔记(一) - Uplift Modeling with Meta-Learning Method(T-Learner/S-Learner/X-Learner) 这篇文章中,我们介绍了几种经典的元学习方法用于构建 uplift model。但是无论是 S-Learner,T-Learner 又或者是改进版的 X-Learner,虽然从原理和解释性上都十分的完备,但是它们看起来都不够具有一般性,即每种算...
Method5-way 1-shot5-way 5-shot Vinyals et al. (2016)43.6 $\%$55.3 $\%$ Finn et al. (2017)48.7 $\pm$ 1.84 $\%$63.1 $\pm$ 0.92 $\%$ Ravi $\&$ Larochelle (2017)43.4 $\pm$ 0.77 $\%$60.2 $\pm$ 0.71 $\%$ Snell et al. (2017)46.61 $\pm$ 0.78 $...
Then, during the meta-testing period, an ensemble model method based on meta-optimization is proposed to minimize the loss of inter-model cooperation in prediction, so that multiple models cooperation can realize the learning of novel tasks. Results: The above-mentioned me...
Method5-way 1-shot5-way 5-shot Vinyals et al. (2016) 43.6 $\%$ 55.3 $\%$ Finn et al. (2017) 48.7 $\pm$ 1.84 $\%$ 63.1 $\pm$ 0.92 $\%$ Ravi $\&$ Larochelle (2017) 43.4 $\pm$ 0.77 $\%$ 60.2 $\pm$ 0.71 $\%$ Snell et al. (2017) 46.61 $\pm$ 0.78 $\%$ 65...
We approach the problem by learning distributions over functions using Neural Processes (NPs), a recently introduced probabilistic meta-learning method. This allows the treatment of model uncertainty to tackle the exploration/exploitation dilemma. We show that NPs are suitable for sequential decision ...
learning (artificial intelligence neural nets support vector machines automated algorithm selection method bioinformatics forecasting machine learning community meta-learning neural network optimisation 会议名称: IEEE/ACIS International Conference on Computer & Information Science 会议时间: 2007 主办单位: IEEE...
We propose a novel {meta-learning} method for domain generalization. Rather than designing a specific model that is robust to domain shift as in most previous DG work, we propose a model agnostic training procedure for DG. Our algorithm simulates train/test domain shift during training by ...
Kingma, D. and Ba, J. Adam: A Method for Stochastic Optimization.Proceedings of the 3rd International Conference on Learning Representations (ICLR 2015). Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition...
(数据集蒸馏adversarial,进行poisoning的话,会不会少数的图片就attack很强?) 5、Neural architecture search 六、Model base method 以上主要介绍的是基于优化的元学习方式。它们本质上还是选取了模型参数(模型架构、优化方式、初始化参数、数据集蒸馏)之后,用梯度下降去对新的任务进行训练。 本文参考:...