Yuzhu Shi

Few-Shot Hybrid Incremental Learning:Continually Learning under Data Scarcity and Task Uncertainty

The increasing complexity of real-world deployment requires intelligent agents to effectively adapt to non-stationary data streams with stochastic increments under data scarcity. We formally define this challenge as the Few-Shot Hybrid Incremental Learning (FSHIL) paradigm, which reveals a critical