Matthew Mirman

Artificial Intelligence · 2018

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Mirman trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Yann LeCun
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Simon S. Haykin
  8. Ian J. Goodfellow
  9. Christian Szegedy
  10. Ilya Sutskever

Who trusts Matthew Mirman overall

  1. Huan Zhang
  2. Gagandeep Singh
  3. Matthias Hein
  4. Shiqi Wang
  5. Liwei Song
  6. Eric Wong
  7. Timon Gehr
  8. Sven Gowal
  9. Alexander Meinke
  10. Changliu Liu

Papers from Matthew Mirman's perspective

Ordered by how strongly the researchers Matthew Mirman 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