Jin Tao

Artificial Intelligence · with Beu · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jin Tao trusts overall

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

  1. Michael Zhu
  2. Tsu-Jui Fu
  3. Vincent Vanhoucke
  4. Adams Wei Yu
  5. Trevor Gale
  6. Minjoon Seo
  7. Keyi Yu
  8. Víctor Campos
  9. Urmish Thakker
  10. Yoshua Bengio

Papers from Jin Tao's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers