Peng Xu

Artificial Intelligence · Conference on Robot Learning · 2007–2023

A researcher in the Science corpus: 24 papers; trusts 648 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Xu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Yann LeCun
  7. Kaiming He
  8. Alex Graves
  9. Alec Radford
  10. Richard Socher

Who trusts Peng Xu overall

  1. Tomas Mikolov
  2. Vysoké Učení
  3. Zhiqiang Hu
  4. Parker Riley
  5. Elizabeth Clark
  6. Leo Laugier
  7. Di Jin
  8. Noah A. Smith
  9. Abigail See
  10. Ciprian Chelba

Papers from Peng Xu's perspective

Ordered by how strongly the researchers Peng 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers