Eric Paul Nichols

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Paul Nichols trusts overall

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

  1. Tze Leung Lai
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Tobias Preis
  5. Johan Bollen
  6. Nitish Srivastava

Who trusts Eric Paul Nichols overall

  1. Avraam Tsantekidis
  2. A. Navon
  3. Omer Berat Sezer
  4. Hamed Ghoddusi
  5. Nikolaos Passalis

Papers from Eric Paul Nichols's perspective

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

  1. Long Short-Term Memory
  2. Dropout: a simple way to prevent neural networks from overfitting
  3. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. Generating Sequences With Recurrent Neural Networks
  5. Et al
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. Speech recognition with deep recurrent neural networks
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers