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Transfer learning

Appears in 1 paper

The reuse of knowledge (model weights) learned on one task/dataset for a different but related task.

As used in Paper 10 — Improving Language Understanding by Generative Pre-Training →

The reuse of knowledge (model weights) learned on one task/dataset for a different but related task. GPT-1 demonstrates that language understanding transfers broadly across NLP tasks.

Appears in papers

Paper 10 — Improving Language Understanding by Generative Pre-Training →