Bowen Zheng

Artificial Intelligence · with Barber · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 77 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Bowen Zheng trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Andriy Mnih
  5. Radford M. Neal
  6. Alex Graves
  7. Sepp Hochreiter
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Bowen Zheng overall

  1. Matthias Bauer
  2. Dawen Liang

Papers from Bowen Zheng's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers