Matthew Richardson

Artificial Intelligence · with Aslan · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Richardson trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Graves
  3. Yoshua Bengio
  4. Yann LeCun

Papers from Matthew Richardson's perspective

Ordered by how strongly the researchers Matthew Richardson 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. Long Short-Term Memory
  3. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet classification with deep convolutional neural networks
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers