Bai Jiang

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Bai Jiang trusts overall

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

  1. Geoffrey E. Hinton
  2. Michael G. B. Blum
  3. Paul Marjoram
  4. Yann LeCun
  5. MARK A. Beaumont
  6. Paul Joyce
  7. Paul Fearnhead
  8. Anne-Laure Boulesteix
  9. Yoshua Bengio
  10. Stéphane Boucheron

Who trusts Bai Jiang overall

  1. Pablo de Castro
  2. Daniel R. Schrider
  3. David S. Greenberg
  4. Stefan T. Radev
  5. Tommaso Dorigo
  6. Andrew D. Kern
  7. Marcel Nonnenmacher
  8. Ulf K. Mertens

Papers from Bai Jiang's perspective

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

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

Their papers