Jacob Reimer

Cognitive Neuroscience · 2010–2019

A researcher in the Science corpus: 6 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jacob Reimer trusts overall

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

  1. Cristopher Niell
  2. J. Poulet
  3. Kenneth D. Harris
  4. Mark S. Gilzenrat
  5. Carl C. H. Petersen
  6. Michael P. Stryker
  7. Pascal Fries
  8. Marieke Jepma
  9. Sander Nieuwenhuis
  10. Geoffrey E. Hinton

Who trusts Jacob Reimer overall

  1. Matthew McGinley
  2. Sebastiaan Mathôt
  3. T. Scammell
  4. E. Arrigoni
  5. Stephen V. David

Papers from Jacob Reimer's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. ImageNet: A large-scale hierarchical image database

Their papers