Jianqiao Wangni

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jianqiao Wangni trusts overall

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

  1. Tong Zhang
  2. L. Eon Bottou
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Dan Alistarh
  6. Rie Johnson
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Jianqiao Wangni overall

  1. Sebastian U. Stich
  2. Ahmed Khaled
  3. Hanlin Tang
  4. Peter Richtárik
  5. Anastasia Koloskova
  6. Farzin Haddadpour
  7. Martin Jaggi
  8. Dmitry Grishchenko
  9. Thijs Vogels
  10. Sarit Khirirat

Papers from Jianqiao Wangni's perspective

Ordered by how strongly the researchers Jianqiao Wangni trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers