Mutian He

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 41 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Mutian He trusts overall

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

  1. Alex Graves
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Wojciech Zaremba
  7. Dzmitry Bahdanau
  8. Alex Krizhevsky
  9. Oriol Vinyals
  10. Yann LeCun

Who trusts Mutian He overall

  1. Xu Tan
  2. Ye Jia
  3. Rui Liu
  4. Fengpeng Yue
  5. Zewang Zhang
  6. Devang S. Ram Mohan
  7. Tao Qin
  8. Detai Xin
  9. Michelle Tadmor Ramanovich
  10. Frank K. Soong

Papers from Mutian He's perspective

Ordered by how strongly the researchers Mutian He 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers