Jeff Wang

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 5 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jeff Wang trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Quoc V. Le (in Artificial Intelligence)
  3. Jimmy Ba (in Artificial Intelligence)
  4. Yoshua Bengio (in Artificial Intelligence)
  5. Ilya Sutskever (in Artificial Intelligence)
  6. Geoffrey E. Hinton (in Artificial Intelligence)
  7. Christopher D. Manning (in Artificial Intelligence)
  8. Kyunghyun Cho (in Artificial Intelligence)
  9. Oriol Vinyals (in Artificial Intelligence)
  10. Luke S. Zettlemoyer (in Artificial Intelligence)

Papers from Jeff Wang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Distilling the Knowledge in a Neural Network (arXiv.org)
  5. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  6. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  7. Multitask Learning
  8. Neural Machine Translation of Rare Words with Subword Units
  9. A unified architecture for natural language processing: deep neural networks with multitask learning
  10. Automatic differentiation in PyTorch

Their papers