Xuming Hu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xuming Hu trusts overall

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

  1. Dongxu Zhang
  2. Sepp Hochreiter
  3. Chelsea Finn
  4. Antti Tarvainen
  5. J. Urgen Schmidhuber
  6. Jacob Devlin
  7. Geoffrey E. Hinton
  8. Chuck Rosenberg
  9. Yoshua Bengio
  10. Diederik P. Kingma

Papers from Xuming Hu's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers