Michael Garland

Artificial Intelligence · IEEE Micro · 2008–2017

A researcher in the Science corpus: 9 papers; trusts 49 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Garland trusts overall

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

  1. John R. Nickolls
  2. Y. Saad
  3. Andrew V. Knyazev
  4. Erik Lindholm
  5. Mark J. Harris
  6. Vlastimil Havran
  7. Shubhabrata Sengupta
  8. Kaiming He
  9. Karen Simonyan
  10. Eun-Jin Im

Who trusts Michael Garland overall

  1. Yihui He
  2. K. V. D. Sande
  3. Anders Eklund
  4. Weifeng Liu
  5. Dimitri Komatitsch
  6. Chris Gregg
  7. Ruipeng Li
  8. Yao Zhang
  9. Bryan Catanzaro
  10. Scott Beamer

Papers from Michael Garland's perspective

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

Their papers