Zhiguang Wang

Artificial Intelligence · with Cho · 2020–2021

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

Subfields

Whom Zhiguang Wang trusts

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

  1. Richard Socher (in Artificial Intelligence)
  2. Caiming Xiong (in Artificial Intelligence)

Papers from Zhiguang Wang's perspective

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

  1. Attention is All you Need (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. Layer Normalization
  4. Language Models are Unsupervised Multitask Learners
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  7. Bleu: a Method for Automatic Evaluation of Machine Translation
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet classification with deep convolutional neural networks
  10. A Neural Probabilistic Language Model

Their papers