Curtis G. Northcutt

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 5 papers; trusts 279 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Curtis G. Northcutt trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Andrew Zisserman
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Ross B. Girshick

Who trusts Curtis G. Northcutt overall

  1. Weixin Liang
  2. Lu Jiang
  3. D. Malerba
  4. Jessa Bekker
  5. Jack Bandy
  6. Anish Athalye
  7. Zeyu Feng
  8. Andrei Paleyes
  9. Eduardo Fonseca
  10. Davood Karimi

Papers from Curtis G. Northcutt's perspective

Ordered by how strongly the researchers Curtis G. Northcutt 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers