Lei Xu

Artificial Intelligence · Neural Information Processing Systems · 2015–2020

A researcher in the Science corpus: 6 papers; trusts 222 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Xu trusts overall

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

  1. Geoffrey E. Hinton
  2. Radford M. Neal
  3. Sergey Ioffe
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Christian Szegedy
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Lei Xu overall

  1. Samuel A. Assefa
  2. Vadim Borisov
  3. J. Kolter
  4. Akim Kotelnikov
  5. Brandon Amos
  6. Zilong Zhao
  7. Lifu Tu
  8. Kathrin Sessler
  9. Tobias Leemann
  10. Piotr Bojanowski

Papers from Lei Xu's perspective

Ordered by how strongly the researchers Lei Xu 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  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