Banafsheh Karimian

Learning Task-Agnostic Representations through Multi-Teacher Distillation

Casting complex inputs into tractable representations is a critical step across various fields. Diverse embedding models emerge from differences in architectures, loss functions, input modalities and datasets, each capturing unique aspects of the input. Multi-teacher distillation leverages this dive…