Da Yin

Artificial Intelligence · with Liu · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 265 researchers and is trusted by 250 researchers here, as inferred from the citation graph.

Subfields

Whom Da Yin trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Jimmy Ba
  9. Oriol Vinyals
  10. Ross B. Girshick

Who trusts Da Yin overall

  1. Ronghang Hu
  2. Zhe Gan
  3. Linjie Li
  4. Yen-Chun Chen
  5. Jianfeng Wang
  6. Pengchuan Zhang
  7. Wenliang Dai
  8. Jiasen Lu
  9. Xiaowei Hu
  10. Kurt Shuster

Papers from Da Yin's perspective

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

Their papers