Justin Grimmer

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 10 papers; trusts 77 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Justin Grimmer trusts overall

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

  1. Radford M. Neal
  2. David John Cameron MacKay
  3. David M. Blei
  4. Michael I. Jordan
  5. Eric R. Ziegel
  6. S. Jackman
  7. Andrew Y. Ng
  8. D. M. Titterington
  9. P. Deb
  10. Yee Whye Teh

Who trusts Justin Grimmer overall

  1. Margaret E. Roberts
  2. Brandon M Stewart
  3. Matthew J. Denny
  4. Yang Bao
  5. Niels D. Goet
  6. Christopher Lucas
  7. Seshadri Tirunillai
  8. Arthur Spirling
  9. Anindya Datta
  10. Oren Tsur

Papers from Justin Grimmer's perspective

Ordered by how strongly the researchers Justin Grimmer 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers