Dual-Criterion Curriculum Learning: Application to Temporal Data

ArXi:2603.23573v1 Announce Type: new Curriculum Learning (CL) is a meta-learning paradigm that trains a model by feeding the data instances incrementally according to a schedule, which is based on difficulty progression. Defining meaningful difficulty assessment measures is crucial and most usually the main bottleneck for effective learning, while also in many cases the employed heuristics are only application-specific.