Tyler W. Hughes

Electrical and Electronic Engineering · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tyler W. Hughes trusts overall

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

  1. Michael I. Jordan
  2. Diederik P. Kingma
  3. O. von Stryk
  4. Yichen Shen
  5. Geoffrey E. Hinton
  6. M. Giles
  7. Jimmy Ba
  8. Yann LeCun
  9. Yoshua Bengio
  10. Jerome T. Connor

Who trusts Tyler W. Hughes overall

  1. Gordon Wetzstein
  2. Hailong Zhou
  3. Jiaqi Jiang

Papers from Tyler W. Hughes's perspective

Ordered by how strongly the researchers Tyler W. Hughes 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers