D. Golovin

Artificial Intelligence · 2005–2017

A researcher in the Science corpus: 9 papers; trusts 60 researchers and is trusted by 64 researchers here, as inferred from the citation graph.

Subfields

Whom D. Golovin trusts overall

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

  1. Andreas Krause
  2. Uriel Feige
  3. Carlos Guestrin
  4. H. Brendan McMahan
  5. Maxim Sviridenko
  6. John C. Duchi
  7. Matthew J. Streeter
  8. Robert Tibshirani
  9. Martin A. Zinkevich
  10. Geoffrey E. Hinton

Who trusts D. Golovin overall

  1. Liam Li
  2. Andreas Krause
  3. Ekin Dogus Cubuk
  4. Xiaojin Zhu
  5. Anette Hunziker
  6. Ozan Sener
  7. Nataliya Sokolovska
  8. Marco Tulio Ribeiro
  9. Barret Zoph
  10. Rishabh Agarwal

Papers from D. Golovin's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Going deeper with convolutions

Their papers