Dilin Wang

Artificial Intelligence · with Liu · 2016–2021

A researcher in the Science corpus: 9 papers; trusts 723 researchers and is trusted by 166 researchers here, as inferred from the citation graph.

Subfields

Whom Dilin Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Kaiming He
  7. Ilya Sutskever
  8. Radford M. Neal
  9. Jimmy Ba
  10. Ruslan Salakhutdinov

Who trusts Dilin Wang overall

  1. Qiang Liu
  2. Michalis K. Titsias
  3. Tuomas Haarnoja
  4. Jiaxin Shi
  5. Chunyuan Li
  6. Chao Ma
  7. Changyou Chen
  8. Luke Metz
  9. Yingzhen Li
  10. Jun Zhu

Papers from Dilin Wang's perspective

Ordered by how strongly the researchers Dilin Wang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers