Yi Gu

Artificial Intelligence · with Wang · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Gu trusts overall

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

  1. David R Ha
  2. J. Urgen Schmidhuber
  3. Rémi Coulom
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Levente Kocsis
  8. Jason Wei
  9. Yann LeCun
  10. Mazen Alamir

Who trusts Yi Gu overall

  1. Shunyu Yao
  2. Zirui Zhao

Papers from Yi Gu's perspective

Ordered by how strongly the researchers Yi Gu 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. Long Short-Term Memory
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers