Jonathan Milgram

Artificial Intelligence · 2005–2017

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jonathan Milgram trusts overall

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

  1. Charles M. Bishop
  2. Corinna Cortes
  3. Hsuan-Tien Lin
  4. Vladimir Naumovich Vapnik
  5. Craig Gentry
  6. Chih-Jen Lin
  7. C. Burges
  8. Geoffrey E. Hinton
  9. Ryan M. Rifkin
  10. Shai Halevi

Who trusts Jonathan Milgram overall

  1. Gregory Cohen
  2. Eric Granger
  3. Z. Aydın
  4. Yoshua Bengio
  5. Saeed Afshar
  6. Ajit Paul Singh
  7. Philippe Henniges
  8. Robert Sabourin

Papers from Jonathan Milgram's perspective

Ordered by how strongly the researchers Jonathan Milgram 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers