Yeyun Gong

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 11 papers; trusts 173 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yeyun Gong trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Kaiming He
  7. Yann LeCun
  8. Jimmy Ba
  9. Alex Graves
  10. Sepp Hochreiter

Who trusts Yeyun Gong overall

  1. Yixin Liu
  2. Yen-Chun Chen
  3. Sebastian Gehrmann
  4. Zachary M. Ziegler
  5. WonJin Yoon
  6. Zhihong Shao
  7. Lei Yu
  8. Toufique Ahmed
  9. Zhe Gan

Papers from Yeyun Gong's perspective

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

Their papers