James Wexler

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 223 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom James Wexler trusts overall

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

  1. Geoffrey E. Hinton
  2. Been Kim
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Christian Szegedy
  6. Yann LeCun
  7. Karen Simonyan
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Kaiming He

Who trusts James Wexler overall

  1. Amir-Hossein Karimi
  2. Gesina Schwalbe
  3. Erico Tjoa
  4. Arun Das
  5. Chih-Kuan Yeh
  6. Oscar Gomez
  7. Zhi Chen
  8. Giulia Vilone
  9. Been Kim
  10. Thomas Liao

Papers from James Wexler's perspective

Ordered by how strongly the researchers James Wexler 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. 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers