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Transfer Learning
lena-voita.github.io · 6,437 words · saved by 1 readers
Introduction to Transfer Learning and Pretrained Models (ELMo, BERT, GPT).
Transfer Learning p { text-align: justify; } ⇤ NLP Course | For You Transfer Learning What is Transfer Learning? Recap: Word Embeddings Pretrained Models • Words ↦ Words in Context • CoVe: Context Vectors • ELMo: Embeddings from LM • Task-Specific Model ↦ Unified • GPT: Generative Pretraining • BERT: Bidirectional Encoder Benchmarks --> (A Bit of) Adapters (A Note on) Benchmarks Analysis and Interpretability Research Thinking --> Related Papers --> Have Fun! ☰ --> --> (Introduction to) Transfer Learning Lena : Transfer Learning is huge: therefore, it is not
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