Yuling Gu

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuling Gu trusts overall

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

  1. Hannah Rashkin
  2. Denis Emelin
  3. Geoffrey E. Hinton
  4. Jena D. Hwang
  5. Ronan Le Bras
  6. Marvin Minsky
  7. Yoshua Bengio
  8. Denis J. Hilton
  9. Ruth M. J. Byrne
  10. Diederik P. Kingma

Papers from Yuling Gu's perspective

Ordered by how strongly the researchers Yuling 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers