Matthew R. Nelson

Statistics and Probability · 2001–2019

A researcher in the Science corpus: 9 papers; trusts 3 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew R. Nelson trusts overall

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

  1. David E. Goldberg
  2. Ron Kohavi
  3. Yann LeCun
  4. Yoshua Bengio

Who trusts Matthew R. Nelson overall

  1. Jason H. Moore
  2. Heather J. Cordell
  3. J. Li
  4. Yu Zhang
  5. Nicholas Pudjihartono
  6. Rui Jiang
  7. Marylyn DeRiggi Ritchie
  8. Peter W. Laird
  9. L. Ji
  10. Yusuf H. Roohani

Papers from Matthew R. Nelson's perspective

Ordered by how strongly the researchers Matthew R. Nelson 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers