Yu Zhang

Artificial Intelligence · with Li · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Zhang trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Jimmy Ba (in Artificial Intelligence)

Papers from Yu Zhang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Layer Normalization
  6. Bleu: a Method for Automatic Evaluation of Machine Translation
  7. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  8. Librispeech: An ASR corpus based on public domain audio books
  9. Neural Discrete Representation Learning
  10. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)

Their papers