Sen Song

Artificial Intelligence · Symposium on Field Programmable Gate Arrays · 2000–2020

A researcher in the Science corpus: 7 papers; trusts 90 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

Whom Sen Song trusts overall

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

  1. Kenneth D. Miller
  2. Henry Markram
  3. Ron Milo
  4. S. Shen-Orr
  5. Sandrine Dudoit
  6. Shalev Itzkovitz
  7. Markus Reigl
  8. David John Cameron MacKay
  9. T. Mayhew
  10. Kaiming He

Who trusts Sen Song overall

  1. Wulfram Gerstner
  2. Andreas Knoblauch
  3. Eugene M. Izhikevich
  4. Claudia Clopath
  5. E. D. Di Paolo
  6. Takao K. Hensch
  7. Nikola K. Kasabov
  8. J. Urgen Schmidhuber
  9. D. Feldman
  10. Stefano Fusi

Papers from Sen Song's perspective

Ordered by how strongly the researchers Sen Song trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Going deeper with convolutions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers