Tao Yao

Artificial Intelligence · with Jin · 2022

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 Tao Yao 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 Tao Yao's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  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. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  6. On the difficulty of training recurrent neural networks
  7. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  8. ImageNet classification with deep convolutional neural networks
  9. Reformer: The Efficient Transformer
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers