Daisy Yi Ding

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 6 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daisy Yi Ding trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Graves
  5. Radford M. Neal
  6. Christopher D. Manning
  7. Alex Krizhevsky
  8. Richard Socher
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Daisy Yi Ding overall

  1. Yuhao Zhang
  2. Zhihong Chen

Papers from Daisy Yi Ding's perspective

Ordered by how strongly the researchers Daisy Yi Ding 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. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers