Ping Tak Peter Tang

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 5 papers; trusts 108 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Ping Tak Peter Tang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yann LeCun
  6. L. Eon Bottou
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Sergey Ioffe
  10. Alex Graves

Who trusts Ping Tak Peter Tang overall

  1. Behnam Neyshabur
  2. Yang You
  3. Wujie Wen
  4. Zi-Mei Yao
  5. Stanislav Fort

Papers from Ping Tak Peter Tang's perspective

Ordered by how strongly the researchers Ping Tak Peter Tang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers