Tianshi Chen

Computer Vision and Pattern Recognition · with Chen · 2014–2016

A researcher in the Science corpus: 6 papers; trusts 48 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Tianshi Chen trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. L. Eon Bottou
  6. Simon S. Haykin
  7. Marc'Aurelio Ranzato
  8. Quoc V. Le
  9. Ilya Sutskever
  10. Clément Farabet

Who trusts Tianshi Chen overall

  1. Patrick Judd
  2. Minsoo Rhu
  3. Yu-hsin Chen
  4. Matthieu Courbariaux
  5. Ahmad Shawahna
  6. Hyoukjun Kwon
  7. Song Han
  8. Vivienne Sze
  9. Tal Ben-Nun
  10. Jorge Albericio

Papers from Tianshi Chen's perspective

Ordered by how strongly the researchers Tianshi Chen 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers