Gerry Tonkin-Hill

Molecular Biology · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gerry Tonkin-Hill trusts overall

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

  1. Michael I. Jordan
  2. Leland McInnes
  3. Jukka Corander
  4. Alexander Strehl
  5. Katherine A. Heller
  6. Lianming Wang
  7. John Healy
  8. Lu Cheng
  9. Morgan N. Price
  10. David H. Alexander

Papers from Gerry Tonkin-Hill's perspective

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

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

Their papers