Kevin Wilson

Signal Processing · 1964–2019

A researcher in the Science corpus: 12 papers; trusts 59 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Wilson trusts overall

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

  1. Geoffrey E. Hinton
  2. Tara N. Sainath
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Alex Graves
  7. Xavier Glorot
  8. Yann LeCun
  9. Oriol Vinyals
  10. Navdeep Jaitly

Who trusts Kevin Wilson overall

  1. Tara N. Sainath
  2. Nasser Mohammadiha
  3. Dong Yu
  4. Bo Li
  5. Paris Smaragdis
  6. Neil Zeghidour
  7. Yi Luo
  8. Ruohan Gao
  9. Ron J. Weiss
  10. Mirco Ravanelli

Papers from Kevin Wilson's perspective

Ordered by how strongly the researchers Kevin Wilson 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers