difficulty
Paper Reading: A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty
受人类学习过程的启发,本文根据学习速度设计了样本难度模型,并提出了一种新的实例级再平衡策略。具体来说模型在每个训练周期记录每个实例的预测,并根据预测的变化来测量该样本的难度难度。然后对困难实例赋予更高的权重,对数据进行重新采样。本文从理论上证明了提出的重采样策略的正确性和收敛性,并进行一些实证实验来... ......
The Difficulty of Passive Learning in Deep Reinforcement Learning
![](https://img2023.cnblogs.com/blog/1428973/202305/1428973-20230524224808789-13684847.png) **发表时间:**2021(NeurIPS 2021) **文章要点:**这篇文章提出一个tandem learni ......
Understanding Dataset Difficulty with V-Usable Information
Ethayarajh K., Choi Y. and Swayamdipta S. Understanding dataset difficulty with $\mathcal{V}$-usable information. ICML, 2022. 概 将 $\mathcal{V}$-inform ......