Michael S. Lewicki

Computer Vision and Pattern Recognition · 1998–2006

A researcher in the Science corpus: 7 papers; trusts 32 researchers and is trusted by 90 researchers here, as inferred from the citation graph.

Subfields

Whom Michael S. Lewicki trusts overall

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

  1. Stéphane Mallat
  2. Anthony J. Bell
  3. Terrence J. Sejnowski
  4. Barbara Olshausen
  5. Ingrid Daubechies
  6. David J. Field
  7. Sugato Chakravarty
  8. Shun-ichi Amari
  9. Geoffrey E. Hinton
  10. Ralph Linsker

Who trusts Michael S. Lewicki overall

  1. Yoshua Bengio
  2. Julien Mairal
  3. Siwei Lyu
  4. Soo-Young Lee
  5. Francis R. Bach
  6. Michal Aharon
  7. Frédéric E. Theunissen
  8. Fabian H Sinz
  9. Honglak Lee
  10. Xue-Xin Wei

Papers from Michael S. Lewicki's perspective

Ordered by how strongly the researchers Michael S. Lewicki 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers