Dean M. Tullsen

Artificial Intelligence · 2000–2020

A researcher in the Science corpus: 12 papers; trusts 77 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Dean M. Tullsen trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Yuval Yarom
  7. Ilya Sutskever
  8. Zoltán Szabó
  9. Cynthia Dwork
  10. Ian J. Goodfellow

Who trusts Dean M. Tullsen overall

  1. Onur Mutlu
  2. Yoongu Kim
  3. Thomas Moscibroda
  4. Vivek Seshadri
  5. Jamie Liu
  6. Jichuan Chang
  7. Donghyuk Lee
  8. Brian Rogers
  9. Sergey Zhuravlev
  10. Fatemehsadat Mireshghallah

Papers from Dean M. Tullsen's perspective

Ordered by how strongly the researchers Dean M. Tullsen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers