Peiyu Liu

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peiyu Liu trusts

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

  1. Quoc V. Le (in Artificial Intelligence)
  2. Geoffrey E. Hinton (in Artificial Intelligence)
  3. Jimmy Ba (in Artificial Intelligence)
  4. Diederik P. Kingma (in Artificial Intelligence)
  5. Yoshua Bengio (in Artificial Intelligence)
  6. Ilya Sutskever (in Artificial Intelligence)
  7. Noam Shazeer (in Artificial Intelligence)
  8. Oriol Vinyals (in Artificial Intelligence)

Papers from Peiyu Liu's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Layer Normalization
  3. Language Models are Unsupervised Multitask Learners
  4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  5. Efficient Estimation of Word Representations in Vector Space
  6. Bleu: a Method for Automatic Evaluation of Machine Translation
  7. Representation Learning with Contrastive Predictive Coding
  8. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  9. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  10. Proximal Policy Optimization Algorithms (arXiv.org)

Their papers