Simon Shillaker

Computer Networks and Communications · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Shillaker trusts overall

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

  1. Malte Schwarzkopf
  2. B. Recht
  3. David D. Lewis
  4. Andrew G. Howard
  5. Philipp Moritz
  6. Sadjad Fouladi
  7. Andreas Haas
  8. Yiming Yang
  9. Derek Gordon Murray
  10. Christopher R'e

Papers from Simon Shillaker's perspective

Ordered by how strongly the researchers Simon Shillaker 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing
  5. Long Short-Term Memory
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers