Dominic Masters

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 121 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Dominic Masters trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Sergey Ioffe
  6. Karen Simonyan
  7. Samuel L. Smith
  8. L. Eon Bottou
  9. B. Kulfan
  10. Yann LeCun

Who trusts Dominic Masters overall

  1. Charles H. Martin
  2. Tong Yu
  3. Ibrahem Kandel
  4. Tonmoy Saikia
  5. Yuji Roh
  6. Zachary B. Charles
  7. Stanislaw Jastrzebski
  8. Youhui Bai
  9. Daniel J. Poole
  10. Ji-chao Li

Papers from Dominic Masters's perspective

Ordered by how strongly the researchers Dominic Masters 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. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers