Jia Hu

Artificial Intelligence · with Georgalas · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jia Hu trusts overall

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

  1. John Schulman
  2. Diederik P. Kingma
  3. Jimmy Ba
  4. Geoffrey E. Hinton
  5. Joaquin Vanschoren
  6. Oriol Vinyals
  7. Yoshua Bengio
  8. Dzmitry Bahdanau
  9. Chelsea Finn
  10. Sergey Levine

Papers from Jia Hu's perspective

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

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

Their papers