Allen Huang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Allen Huang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Paul C. Tetlock

Who trusts Allen Huang overall

  1. Ajit Rajasekharan
  2. Sivanesan Sangeetha
  3. Katikapalli Subramanyam Kalyan

Papers from Allen Huang's perspective

Ordered by how strongly the researchers Allen Huang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. GloVe: Global Vectors for Word Representation
  4. Language Models are Unsupervised Multitask Learners
  5. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
  6. Universal Language Model Fine-tuning for Text Classification
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Publicly Available Clinical BERT Embeddings
  10. BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Their papers