David John Hill

Control and Systems Engineering · 2000–2021

A researcher in the Science corpus: 22 papers; trusts 40 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom David John Hill trusts overall

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

  1. Daniel Liberzon
  2. Shuzhi Sam Ge
  3. Diederik P. Kingma
  4. Sepp Hochreiter
  5. Alex Graves
  6. Jun Zhao
  7. Mehrdad Saif
  8. Cong Wang
  9. Reza Olfati-Saber
  10. Wassim M. Haddad

Who trusts David John Hill overall

  1. Lixian Zhang
  2. Jun Zhao
  3. James Jian Qiao Yu
  4. Xudong Zhao
  5. Iman Zamani
  6. Bing Chen
  7. Peng Shi
  8. Xu Jin
  9. Mario di Bernardo
  10. T. Zhang

Papers from David John Hill's perspective

Ordered by how strongly the researchers David John Hill trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers