Y. Tan

Artificial Intelligence · with Zhang · 2019–2020

A researcher in the Science corpus: 7 papers; trusts 200 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Tan trusts overall

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

  1. Jieyu Zhao
  2. Alec Radford
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Richard Socher
  8. Alex Krizhevsky
  9. Jeffrey Pennington
  10. Tomas Mikolov

Who trusts Y. Tan overall

  1. Eric Michael Smith
  2. Adina Williams
  3. Karolina Stańczak
  4. Ryan Steed
  5. Aylin Caliskan
  6. Wei Guo
  7. Oskar van der Wal
  8. Su Lin Blodgett
  9. Pieter Delobelle
  10. Forrest N. Iandola

Papers from Y. Tan's perspective

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

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

Their papers