T. Zhu

Artificial Intelligence · with Clifton · 2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom T. Zhu trusts overall

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

  1. Geoffrey E. Hinton
  2. Pritam Sarkar
  3. Kaiming He
  4. Ting-Li Chen
  5. Alex Krizhevsky
  6. Maithra Raghu
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts T. Zhu overall

  1. Ziyuan Zhao

Papers from T. Zhu's perspective

Ordered by how strongly the researchers T. Zhu 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. Gradient-based learning applied to document recognition
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers