Jonathan Godwin

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Godwin trusts overall

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

  1. Jimmy Ba
  2. Diederik P. Kingma
  3. Cédric Villani
  4. Joseph J Monaghan
  5. Marco Cuturi
  6. Deborah Sulsky
  7. Geoffrey E. Hinton
  8. Matthias Müller
  9. Jan Bender
  10. Wei Dong

Who trusts Jonathan Godwin overall

  1. Johannes Brandstetter
  2. Yi Liao
  3. Zijie Li

Papers from Jonathan Godwin's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Layer Normalization
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers