Tao Chen

Computer Vision and Pattern Recognition · 2009–2023

A researcher in the Science corpus: 12 papers; trusts 416 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Vikash Kumar
  3. Steffen Rendle
  4. Alex Krizhevsky
  5. Kaiming He
  6. Diederik P. Kingma
  7. Sergey Levine
  8. Yoshua Bengio
  9. Christian Szegedy
  10. Ross B. Girshick

Who trusts Tao Chen overall

  1. Xiangnan He
  2. Zhiyong Cheng
  3. Xu Chen
  4. Yongfeng Zhang
  5. Omid Taheri
  6. Tete Xiao
  7. Gabriel B. Margolis
  8. Weiyu Cheng
  9. Hanwang Zhang
  10. Lei Zhu

Papers from Tao Chen's perspective

Ordered by how strongly the researchers Tao Chen 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers