Semanlink - Unsupervised deep pre-training

RDF

Εκτύπωση

Βρες μου:

Search Doc:

Προτιμήσεις...

Ετικέτες

AI@Google - Andrej Karpathy - Arxiv Doc - Attention mechanism - Classification - Discuté avec Raphaël - Domain adaptation - Domain adaptation (NLP) - Embeddings - Entities - Entity Retrieval - Fine-tuning - GitHub - GitHub project - Google - Howto, tutorial, FAQ - Hugging Face - Information extraction - Information retrieval - Knowledge-augmented Language Models - Knowledge Graphs - Knowledge Graphs and NLP - Language Model - Language Models + Knowledge - LM Fine-tuning - Neural Search - NLP@Google - NLP@Meta - NLP@Microsoft - NLP and Search - NLP based IR - NLP girls and guys - NLP techniques - Not Encoding Factual Knowledge in Language Model - OpenAI - Question Answering - Retrieval Augmentation - Retrieval-based NLP - Sample code - Self-Attention - Sentence Embeddings - Structured knowledge - Text Classification - Text Embeddings - Tools - Transfer learning - Transfer learning in NLP - Transformers - Tweet - Vector database -

Γονείς:

Unsupervised deep pre-training

Σχετικές ετικέτες:

Απόγονοι

Pre-Trained Language Models

2 Έγγραφα (Όλα τα έγγραφα)

Matthew Honnibal sur Twitter : "Have been experimenting with an unsupervised pre-training technique for @spacy_io, similar to ULMFit/Elmo/BERT etc.

Tags:

2018-11-18 About

Improving Language Understanding with Unsupervised Learning

Tags:

2018-06-12 About

Ιδιότητες

sl:creationDate : 2018-11-18
sl:creationTime : 2018-11-18T10:50:39Z
rdf:type : sl:Tag
skos:prefLabel : Unsupervised deep pre-training