Marco Lin

Cognitive Neuroscience · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Marco Lin trusts overall

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

  1. Karl J. Friston
  2. J. Urgen Schmidhuber
  3. Richard Bellman
  4. Matthew Botvinick
  5. Geoffrey E. Hinton
  6. A. G. Collins
  7. Hang Zhang
  8. Kenway Louie
  9. Josh Tenenbaum
  10. Mark Jung-Beeman

Who trusts Marco Lin overall

  1. Karl J. Friston

Papers from Marco Lin's perspective

Ordered by how strongly the researchers Marco Lin 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
  10. Going deeper with convolutions

Their papers