Dickson N. T. How

IEEE Access · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Dickson N. T. How trusts overall

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

  1. Guozhong An
  2. Anders Krogh
  3. A. Waibel
  4. Kuniaki Noda
  5. Geoffrey E. Hinton
  6. Sepp Hochreiter
  7. Ilya Sutskever
  8. John A. Hertz
  9. J. Urgen Schmidhuber
  10. Alex Krizhevsky

Papers from Dickson N. T. How's perspective

Ordered by how strongly the researchers Dickson N. T. How 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers