Mark Tygert

Artificial Intelligence · 2004–2017

A researcher in the Science corpus: 9 papers; trusts 24 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Tygert trusts overall

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

  1. Stéphane Mallat
  2. Alex Krizhevsky
  3. Yann LeCun
  4. Vladimir Rokhlin
  5. Navneet Dalal
  6. Geoffrey E. Hinton
  7. Edouard Oyallon
  8. Ilya Sutskever
  9. David G. Lowe
  10. Yoshua Bengio

Who trusts Mark Tygert overall

  1. N. Benjamin Erichson
  2. Steven L. Brunton
  3. Per-Gunnar Martinsson
  4. Cameron Musco
  5. David Chan
  6. George C. Linderman
  7. Rafi Witten
  8. Ameet Talwalkar
  9. Nathan Halko
  10. Petros Drineas

Papers from Mark Tygert's perspective

Ordered by how strongly the researchers Mark Tygert trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Histograms of oriented gradients for human detection

Their papers