Qin Jin

Artificial Intelligence · Annual Meeting of the Association for Computational Linguistics · 2015–2021

A researcher in the Science corpus: 7 papers; trusts 584 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qin Jin trusts overall

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

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

Who trusts Qin Jin overall

  1. Hao Zhang
  2. Xu Yang
  3. Edwin G. Ng
  4. Alexis Ross

Papers from Qin Jin's perspective

Ordered by how strongly the researchers Qin Jin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers