Peng Shen

Artificial Intelligence · with Kawai · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Shen trusts overall

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

  1. Geoffrey E. Hinton
  2. Oriol Vinyals
  3. L. V. D. van der Maaten
  4. Adriana Romero
  5. Haizhou Li
  6. Yoshua Bengio
  7. Najim Dehak
  8. Daniel Povey
  9. Ignacio Lopez-Moreno
  10. Joseph Dean

Who trusts Peng Shen overall

  1. Jianping Gou
  2. Baosheng Yu
  3. Xugang Lu
  4. S. Maybank
  5. Sheng Li
  6. Dacheng Tao
  7. Hisashi Kawai

Papers from Peng Shen's perspective

Ordered by how strongly the researchers Peng Shen 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Distilling the Knowledge in a Neural Network (arXiv.org)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers