Matthew K. Wright

Artificial Intelligence · 2004–2018

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew K. Wright trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Christian Szegedy
  4. Kaiming He
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Tao Wang
  8. Sergey Ioffe
  9. Ilya Sutskever
  10. Bimal Viswanath

Who trusts Matthew K. Wright overall

  1. Binghui Wang

Papers from Matthew K. Wright's perspective

Ordered by how strongly the researchers Matthew K. Wright 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. Going deeper with convolutions
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. GENERATIVE ADVERSARIAL NETS
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Long Short-Term Memory

Their papers