T. Nickson

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom T. Nickson trusts overall

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

  1. James Hensman
  2. Max Welling
  3. Nikolaus Hansen
  4. Radford M. Neal
  5. Donald R. Jones
  6. James Bergstra
  7. Neil D. Lawrence
  8. Matthew D. Hoffman
  9. Geoffrey E. Hinton
  10. Joaquin Quiñonero Candela

Who trusts T. Nickson overall

  1. Aaron Klein
  2. Pavel Izmailov
  3. Quanming Yao
  4. Stefan Falkner
  5. Thang D. Bui
  6. Haitao Liu
  7. Alexander Novikov
  8. Simon Bartels
  9. Akisato Kimura
  10. Alexander G. de G. Matthews

Papers from T. Nickson's perspective

Ordered by how strongly the researchers T. Nickson 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. Learning Multiple Layers of Features from Tiny Images
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers