[R] An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems - Google 2022 - Jeff Dean

Paper: [https://arxiv.org/abs/2205.12755](https://arxiv.org/abs/2205.12755)

Abstract:

"Multitask learning assumes that models capable of learning from multiple tasks can achieve better quality and efficiency via knowledge transfer, a key feature of human learning. Though, state of the art ML models rely on high customization for each task and leverage size and data scale rather than scaling the number of tasks. Also, continual learning, that adds the temporal aspect to multitask, is often focused to the study of common pitfalls such as catastrophic forgetting instead …

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