Jeremy M. Cohen

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 6 papers; trusts 106 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Jeremy M. Cohen trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Yann LeCun
  7. Christian Szegedy
  8. Ilya Sutskever
  9. Ian J. Goodfellow
  10. L. Eon Bottou

Who trusts Jeremy M. Cohen overall

  1. Evgenia Rusak
  2. Maksym Andriushchenko
  3. Matthias Hein
  4. Huan Zhang
  5. Alexander Meinke
  6. Xiaosen Wang
  7. Zifan Wang
  8. Hadi Salman
  9. Klas Leino
  10. Andy Zou

Papers from Jeremy M. Cohen's perspective

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

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

Their papers