Instruction: Define task agnostic Transfer Learning and discuss how it differs from traditional Transfer Learning, including examples of applications.
Context: The question tests the candidate's understanding of advanced and emerging concepts in Transfer Learning, specifically the ability to apply models to entirely new tasks without prior specificity.
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The way I'd explain it in an interview is this: Task-agnostic transfer learning focuses on learning broadly useful representations that can support many downstream tasks rather than optimizing for one particular source-target pair. Self-supervised pretraining is a common example because...