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Mar, 2020
任务感知增量学习的条件通道门控网络
Conditional Channel Gated Networks for Task-Aware Continual Learning
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Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara...
TL;DR
该研究通过为卷积层添加任务特定的门控模块,并使用稀疏性目标促进对有限内核集的选择,提出了一种解决序列学习问题的新框架,实现了在没有任务标签信息的情况下的持续学习,该模型的准确度明显优于现有方法。
Abstract
convolutional neural networks
experience
catastrophic forgetting
when optimized on a sequence of learning problems: as they meet the objective of the current training examples, their performance on previous tasks
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