Alex J. DeGrave

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Alex J. DeGrave trusts overall

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

  1. Biraja Ghoshal
  2. Joseph D. Janizek
  3. Joseph Paul Cohen
  4. Jun-Yan Zhu
  5. Pranav Rajpurkar
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Gabriel Erion-Barner
  9. Kaiming He
  10. Jia Deng

Who trusts Alex J. DeGrave overall

  1. Pranav Rajpurkar
  2. Ian Covert

Papers from Alex J. DeGrave's perspective

Ordered by how strongly the researchers Alex J. DeGrave 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers